learning walkthrus students

LEARNING WALKTHRUs is a visual guide to key aspects of learning and studying at home and at school. It features 70+ five-step techniques devised by Tom Sherrington and illustrated by Oliver Caviglioli, with guest authors including Sarah Cottingham, Peps Mccrea, Sara Milne Rowe, Christopher Such, Emma Turner and Jennifer Webb. Students: this book is for you. It s a guide to how we learn and how to study effectively, to help you make the most of your time at school.Parents: this book is also for you. We hope it will support you in the vital role you play in your children s education.Sections include: How we learn; In the classroom; Feedback improvement; Study habits techniques; Reading writing; Independent learning; Learning in subjects.Tom and Oliver are the creators of the internationally successful Teaching WalkThrus series, comprising three volumes of five-step instructional coaching techniques and a range of online resources. For more information visit www.walkthrus.co.uk

Objev podobné jako Learning WalkThrus: Students

Engage the World Change the World Deep Learning has claimed the attention of educators and policymakers around the world. This book not only defines what deep learning is, but takes up the question of how to mobilize complex, whole-system change and transform learning for all students. Deep Learning is a global partnership that works to: transform the role of teachers to that of activators who design experiences that build global competencies using real-life problem solving; and supports schools, districts, and systems to shift practice and how to measure learning in authentic ways. This comprehensive strategy incorporates practical tools and processes to engage students, educators, and families in new partnerships and drive deep learning. Inside you⠙ll find: The Deep Learning Framework Vignettes and case studies from K-12 classrooms in 1,200 schools in seven countries Guidance for reaching disadvantaged and differently abled students Sample protocols and rubrics for assessment Videos demonstrating deep learning design and innovative leadership in practice Through learning partnerships, learning environments, new pedagogical practices, and leveraged digital skills, deep learning reaches students as never before ⠔ preparing them to be active, engaged participants in their future.

Objev podobné jako Deep Learning - Joanne Quinn, Michael Fullan, Joanne J. McEachen

Every early years practitioner should be able to captivate and maintain the interest of young children in their setting, through the provision of a playful learning experience.Covering age ranges 3-8 years, this textbook explores the importance of infusing playfulness throughout the entire early years day, and includes chapters that: establish the core principles underpinning playful teaching and learning help students and practitioners understand how playfulness can be applied to all aspects of the early years curriculum including mathematics, literacy, outdoor environments, science technology, and ICT explore core issues in early years provision including observing, planning assessment, and how they relate to playful learning emphasise the role and qualities of the playful professional.This is a fantastic resource for any student or practitioner looking to enrich the lives of young children through meaningful playful learning experiences.

Objev podobné jako Playful Teaching and Learning

Following the break-out success of Teaching WalkThrus Volume 1 (2020) and Volume 2 (2021), Tom Sherrington and Oliver Caviglioli present the third instalment of their five-step instructional coaching techniques. Volume 3 features 50 more essential teaching methods in the authorsâ ™ concise and accessible format, covering all the key areas of teaching: behaviour and relationships; curriculum planning; explaining and modelling; questioning and feedback; practice and retrieval; and Mode B teaching. Tom and Oliver have teamed up with a stellar supporting cast of educators to present the new WalkThrus, with contributions from: Adam Boxer, Alison Wilcox, Andy Buck, Andy Tharby, Ayellet McDonnell, Bennie Kara, Blake Harvard, Christopher Such, David Goodwin, Efrat Furst, Emma Slade, Emma Turner, Eva Hartell, Harry Fletcher-Wood, Josh Goodrich, Kat Howard, Leila MacTavish, Mary Myatt, Peps Mccrea, Richard Kennett, Shaun Allison, Sonia Thompson, and Tom Needham. Each technique is concisely explained and beautifully illustrated in five steps, to make sense of complex ideas and support student learning. The WalkThrus books are supported by an online PD toolkit, which is now used by 2,000 organisations in 35 countries. For more info, visit www.walkthrus.co.uk

Objev podobné jako Teaching WalkThrus 3: Five-step guides to instructional coaching - Tom Sherrington

In the groundbreaking and best-selling Teaching WalkThrus Volume 1, Tom Sherrington and Oliver Caviglioli produced a brilliantly concise and accessible repository to 50 essential teaching techniques. In this follow-up second volume, Tom and Oliver team up with 10 experienced educators to present 50 brand new WalkThrus, covering all the key areas of teaching: behaviour and relationships; curriculum planning; explaining and modelling; questioning and feedback; practice and retrieval; and Mode B teaching.Alex Quigley, Martin Robinson, Claire Stoneman, Bennie Kara, Zoe Enser, Mark Enser, John Tomsett, Simon Breakspear, Bronwyn Ryie Jones and Oliver Lovell bring a huge wealth of expertise as they help to further expand and elaborate this essential teaching manual.As always, each technique is concisely explained and beautifully illustrated in five short steps, to make sense of complex ideas and support student learning.

Objev podobné jako Teaching WalkThrus 2: Five-step guides to instructional coaching - Tom Sherrington

Following the break-out success of Teaching WalkThrus Volumes 1-3, Matt Stone, Tom Sherrington and Oliver Caviglioli present 50+ coaching techniques, concisely explained and beautifully illustrated in five short steps, to support teacher development through meaningful coaching.

Objev podobné jako Coaching WalkThrus - Matt Stone, Tom Sherrington

Tom Sherrington and Oliver Caviglioli team up to present 50 essential teaching techniques, each with five clear and concise illustrations and explanations. It forms a truly unique repository of key teaching methods, valuable to any classroom practitioner in any setting. The book covers important practical techniques in behaviour and relationships; curriculum planning; explaining and modelling; questioning and feedback; practice and retrieval; and Mode B teaching. Each technique is simply explained and beautifully illustrated in five short steps, to make sense of complex ideas and support student learning.

Objev podobné jako Teaching Walkthrus - Tom Sherrington

Messages is a motivating lower-secondary course. Teachers and students are rewarded with immediate results at every Step of each unit. Students can use their English to explore a complete set of online Infoquest websites. Reading skills are developed through continuous stories and regular Life and culture sections. KET- and PET-style exercises help develop exam skills. Exercises where students can work to their level make the course ideal for mixed-ability classes. Fast finishers can complete the Try this! sections and extension exercises in the Workbook. Messages has been correlated against the CEF. The Coursework activities at the end of each module provide students with examples of work to add to it. Regular Learning diary , How s it going? and Study skills sections create independent learners who take responsibility for their own progress. Level 1 assumes students have studied English at primary school, but gives full coverage of all basic language areas. Key features Use what you know sections at the end of each step activate the language students have learnt and provide them with immediate results. Life and culture sections and continuous stories provide rich reading resources about the outside world to stimulate students interest. Coursework activities in each review section on a connected theme at each level (for example, Level 1 My Everyday Life) mean students build up a portfolio of work for each year. A variety of exercises such as the Try this! sections and extension exercises in the Workbook mean students can work to their own level. Teacher s Resource Pack provides photocopiable tests, extra communication and grammar activities and pattern drills. KET and PET-style exercises train students in the skills they need for these exams. Student s Book description Each unit of the Student s Book is divided into 3 manageable steps with clear aims and outcomes. Students can see quick results through regular Use what you know sections at the end of each step. Life and culture sections and a continuous story provides rich reading material while stimulating students imaginations. There is a variety of exercises where students can work to their own level, making the course ideal for mixed ability classes.Coursework activities per module allow students to build up portfolios of work while online Infoquests send students on a journey of discovery in English.

Objev podobné jako Messages 4 Students Book - Diana Goodey

Messages is a motivating lower-secondary course. Teachers and students are rewarded with immediate results at every Step of each unit. Students can use their English to explore a complete set of online Infoquest websites. Reading skills are developed through continuous stories and regular Life and culture sections. KET- and PET-style exercises help develop exam skills. Exercises where students can work to their level make the course ideal for mixed-ability classes. Fast finishers can complete the Try this! sections and extension exercises in the Workbook. Messages has been correlated against the CEF. The Coursework activities at the end of each module provide students with examples of work to add to it. Regular Learning diary , How s it going? and Study skills sections create independent learners who take responsibility for their own progress. Level 1 assumes students have studied English at primary school, but gives full coverage of all basic language areas. Key features Use what you know sections at the end of each step activate the language students have learnt and provide them with immediate results. Life and culture sections and continuous stories provide rich reading resources about the outside world to stimulate students interest. Coursework activities in each review section on a connected theme at each level (for example, Level 1 My Everyday Life) mean students build up a portfolio of work for each year. A variety of exercises such as the Try this! sections and extension exercises in the Workbook mean students can work to their own level. Teacher s Resource Pack provides photocopiable tests, extra communication and grammar activities and pattern drills. KET and PET-style exercises train students in the skills they need for these exams. Student s Book description Each unit of the Student s Book is divided into 3 manageable steps with clear aims and outcomes. Students can see quick results through regular Use what you know sections at the end of each step. Life and culture sections and a continuous story provides rich reading material while stimulating students imaginations. There is a variety of exercises where students can work to their own level, making the course ideal for mixed ability classes.Coursework activities per module allow students to build up portfolios of work while online Infoquests send students on a journey of discovery in English.

Objev podobné jako Messages 1 Students Book - Diana Goodey

Messages is a motivating lower-secondary course. Teachers and students are rewarded with immediate results at every Step of each unit. Students can use their English to explore a complete set of online Infoquest websites. Reading skills are developed through continuous stories and regular Life and culture sections. KET- and PET-style exercises help develop exam skills. Exercises where students can work to their level make the course ideal for mixed-ability classes. Fast finishers can complete the Try this! sections and extension exercises in the Workbook. Messages has been correlated against the CEF. The Coursework activities at the end of each module provide students with examples of work to add to it. Regular Learning diary , How s it going? and Study skills sections create independent learners who take responsibility for their own progress. Level 1 assumes students have studied English at primary school, but gives full coverage of all basic language areas. Key features Use what you know sections at the end of each step activate the language students have learnt and provide them with immediate results. Life and culture sections and continuous stories provide rich reading resources about the outside world to stimulate students interest. Coursework activities in each review section on a connected theme at each level (for example, Level 1 My Everyday Life) mean students build up a portfolio of work for each year. A variety of exercises such as the Try this! sections and extension exercises in the Workbook mean students can work to their own level. Teacher s Resource Pack provides photocopiable tests, extra communication and grammar activities and pattern drills. KET and PET-style exercises train students in the skills they need for these exams. Student s Book description Each unit of the Student s Book is divided into 3 manageable steps with clear aims and outcomes. Students can see quick results through regular Use what you know sections at the end of each step. Life and culture sections and a continuous story provides rich reading material while stimulating students imaginations. There is a variety of exercises where students can work to their own level, making the course ideal for mixed ability classes.Coursework activities per module allow students to build up portfolios of work while online Infoquests send students on a journey of discovery in English.

Objev podobné jako Messages 2 Students Book - Diana Goodey

Messages is a motivating lower-secondary course. Teachers and students are rewarded with immediate results at every Step of each unit. Students can use their English to explore a complete set of online Infoquest websites. Reading skills are developed through continuous stories and regular Life and culture sections. KET- and PET-style exercises help develop exam skills. Exercises where students can work to their level make the course ideal for mixed-ability classes. Fast finishers can complete the Try this! sections and extension exercises in the Workbook. Messages has been correlated against the CEF. The Coursework activities at the end of each module provide students with examples of work to add to it. Regular Learning diary , How s it going? and Study skills sections create independent learners who take responsibility for their own progress. Level 1 assumes students have studied English at primary school, but gives full coverage of all basic language areas. Key features Use what you know sections at the end of each step activate the language students have learnt and provide them with immediate results. Life and culture sections and continuous stories provide rich reading resources about the outside world to stimulate students interest. Coursework activities in each review section on a connected theme at each level (for example, Level 1 My Everyday Life) mean students build up a portfolio of work for each year. A variety of exercises such as the Try this! sections and extension exercises in the Workbook mean students can work to their own level. Teacher s Resource Pack provides photocopiable tests, extra communication and grammar activities and pattern drills. KET and PET-style exercises train students in the skills they need for these exams. Student s Book description Each unit of the Student s Book is divided into 3 manageable steps with clear aims and outcomes. Students can see quick results through regular Use what you know sections at the end of each step. Life and culture sections and a continuous story provides rich reading material while stimulating students imaginations. There is a variety of exercises where students can work to their own level, making the course ideal for mixed ability classes.Coursework activities per module allow students to build up portfolios of work while online Infoquests send students on a journey of discovery in English.

Objev podobné jako Messages 3 Students Book - Diana Goodey

The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better. - Todd Cook The bestseller revised! Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library. Written by Google AI researcher François Chollet, the creator of Keras, this revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. You ll build your understanding through practical examples and intuitive explanations that make the complexities of deep learning accessible and understandable. about the technologyMachine learning has made remarkable progress in recent years. We ve gone from near-unusable speech recognition, to near-human accuracy. From machines that couldn t beat a serious Go player, to defeating a world champion. Medical imaging diagnostics, weather forecasting, and natural language question answering have suddenly become tractable problems. Behind this progress is deep learning⠔a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications across every industry sector about the bookDeep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You ll learn directly from the creator of Keras, François Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. You ll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you ll have the knowledge and hands-on skills to apply deep learning in your own projects. what s insideDeep learning from first principlesImage-classification, imagine segmentation, and object detectionDeep learning for natural language processingTimeseries forecastingNeural style transfer, text generation, and image generation about the readerReaders need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. about the authorFrançois Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does AI research, with a focus on abstraction and reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.

Objev podobné jako Deep Learning with Python - François Chollet

Effective teaching is effective teaching, no matter where it occursThe pandemic teaching of mid-2020 was not really distance learning, but rather crisis teaching. But starting now, teachers have the opportunity to prepare for distance learning with purpose and intent⠔using what works best to accelerate students⠙ learning all the while maintaining an indelible focus on equity.Harnessing the insights and experience of renowned educators Douglas Fisher, Nancy Frey, and John Hattie, The Distance Learning Playbook applies the wisdom and evidence of VISIBLE LEARNING® research to understand what works best with distance learning. Spanning topics from teacher-student relationships, teacher credibility and clarity, instructional design, assessments, and grading, this comprehensive playbook details the research- and evidence-based strategies teachers can mobilize to deliver high- impact learning in an online, virtual, and distributed environment.This powerful guide includes: Learning Intentions and Success Criteria for each module to track your own learning and model evidence-based teacher practices for meaningful learning A diversity of instructional approaches, including direct instruction, peer learning, and independent work that foster student self-regulation and move learning to deep and transfer levels Discussion of equity challenges associated with distance learning, along with examples of how teachers can work to ensure that equity gains that have been realized are not lost. Special guidance for teachers of young children who are learning from a distance Videos of the authors and teachers discussing a wide variety of distance learning topics Space to write and reflect on current practices and plan future instruction The Distance Learning Playbook is the essential hands-on guide to preparing and delivering distance learning experiences that are truly effective and impactful.To purchase from an Authorized Corwin Distributor click here.A Spanish translation of the Distance Learning Playbook, Grades K-12, Aprendizaje a Distancia Guia, Guia de Preescolar a Bachillerator, can be purchased by contacting Irene Yepez from Editorial Trillas at vigaexporta@trillas.mx.

Objev podobné jako The Distance Learning Playbook, Grades K-12 - John Hattie, Douglas Fisher, Nancy Frey

If you ve been curious about artificial intelligence and machine learning but didn t know where to start, this is the book you ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models performance. You ll also learn: How to use classic machine learning models like k-Nearest Neighbours, Random Forests, and Support Vector Machines, How neural networks work and how they re trained, How to use convolutional neural networks, How to develop a successful deep learning model from scratch. You ll conduct experiments along the way, building to a final case study that incorporates everything you ve learned. This second edition is thoroughly revised and updated, and adds six new chapters to further your exploration of deep learning from basic CNNs to more advanced models. New chapters cover fine tuning, transfer learning, object detection, semantic segmentation, multilabel classification, self-supervised learning, generative adversarial networks, and large language models. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning, 2nd Edition will give you the skills and confidence to dive into your own machine learning projects.

Objev podobné jako Practical Deep Learning, 2nd Edition - Ronald T. Kneusel

Help students move from surface-level learning to the transfer of understanding. How do social studies teachers maximize instruction to ensure students are prepared for an informed civic life? VISIBLE LEARNING® for Social Studies, Grades K-12 shows how the field is more than simply memorizing dates and factsâ ”it encapsulates the skillful ability to conduct investigations, analyze sources, place events in historical context, and synthesize divergent points of view. The Visible Learning framework demonstrates that learning is not an event, but rather a process in which students move from surface-level learning to deep learning, and then onto the transfer of concepts, skills, and strategies. Encouraging learners to explore different facets of society, history, geography, and more, best practices for applying visible learning to social studies curriculum are presented through: ·        A scaffolded approach, including surface-level learning, deep learning, and transfer of learning ·        Examples of strategies, lessons, and activities best suited for each level of learning ·        Planning tools, rubrics, and templates to guide instruction Teachers must understand the impact they have on students and select approaches to maximize that impact. This book will guide you through the process of identifying the right strategy for the right time to successfully move students through surface, deep, and transfer learning. Â

Objev podobné jako Visible Learning for Social Studies, Grades K-12 - Julie Stern, John Hattie, Douglas Fisher, Nancy Frey

Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required. Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You ll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field. We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. â ¢ Foundational reinforcement learning concepts and methods â ¢ The most popular deep reinforcement learning agents solving high-dimensional environments â ¢ Cutting-edge agents that emulate human-like behavior and techniques for artificial general intelligence Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior on their own from raw sensory input. The system perceives the environment, interprets the results of its past decisions and uses this information to optimize its behavior for maximum long-term return.

Objev podobné jako Grokking Deep Reinforcement Learning - Miguel Morales

It s time to dispel the myth that machine learning is difficult. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using readily available machine learning tools! In Grokking Machine Learning, expert machine learning engineer Luis Serrano introduces the most valuable ML techniques and teaches you how to make them work for you. Practical examples illustrate each new concept to ensure you⠙re grokking as you go. You⠙ll build models for spam detection, language analysis, and image recognition as you lock in each carefully-selected skill. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. Key Features · Different types of machine learning, including supervised and unsupervised learning · Algorithms for simplifying, classifying, and splitting data · Machine learning packages and tools · Hands-on exercises with fully-explained Python code samples For readers with intermediate programming knowledge in Python or a similar language. About the technology Machine learning is a collection of mathematically-based techniques and algorithms that enable computers to identify patterns and generate predictions from data. This revolutionary data analysis approach is behind everything from recommendation systems to self-driving cars, and is transforming industries from finance to art. Luis G. Serrano has worked as the Head of Content for Artificial Intelligence at Udacity and as a Machine Learning Engineer at Google, where he worked on the YouTube recommendations system. He holds a PhD in mathematics from the University of Michigan, a Bachelor and Masters from the University of Waterloo, and worked as a postdoctoral researcher at the University of Quebec at Montreal. He shares his machine learning expertise on a YouTube channel with over 2 million views and 35 thousand subscribers, and is a frequent speaker at artificial intelligence and data science conferences.

Objev podobné jako Grokking Machine Learning - Luis Serrano

On publication in 2009 John Hattieâ ™s Visible Learning presented the biggest ever collection of research into what actually work in schools to improve childrenâ ™s learning. Not what was fashionable, not what political and educational vested interests wanted to champion, but what actually produced the best results in terms of improving learning and educational outcomes. It became an instant bestseller and was described by the TES as revealing educationâ ™s â ˜holy grailâ ™. Now in this latest book, John Hattie has joined forces with cognitive psychologist Greg Yates to build on the original data and legacy of the Visible Learning project, showing how itâ ™s underlying ideas and the cutting edge of cognitive science can form a powerful and complimentary framework for shaping learning in the classroom and beyond.Visible Learning and the Science of How We Learn explains the major principles and strategies of learning, outlining why it can be so hard sometimes, and yet easy on other occasions. Aimed at teachers and students, it is written in an accessible and engaging style and can be read cover to cover, or used on a chapter-by-chapter basis for essay writing or staff development. The book is structured in three parts â “ â ˜learning within classroomsâ ™, â ˜learning foundationsâ ™, which explains the cognitive building blocks of knowledge acquisition and â ˜know thyselfâ ™ which explores, confidence and self-knowledge. It also features extensive interactive appendices containing study guide questions to encourage critical thinking, annotated bibliographic entries with recommendations for further reading, links to relevant websites and YouTube clips. Throughout, the authors draw upon the latest international research into how the learning process works and how to maximise impact on students, covering such topics as:teacher personality;expertise and teacher-student relationships;how knowledge is stored and the impact of cognitive load;thinking fast and thinking slow;the psychology of self-control;the role of conversation at school and at home;invisible gorillas and the IKEA effect;digital native theory;myths and fallacies about how people learn.This fascinating book is aimed at any student, teacher or parent requiring an up-to-date commentary on how research into human learning processes can inform our teaching and what goes on in our schools. It takes a broad sweep through findings stemming mainly from social and cognitive psychology and presents them in a useable format for students and teachers at all levels, from preschool to tertiary training institutes.

Objev podobné jako Visible Learning and the Science of How We Learn - John Hattie, Gregory C. R. Yates

Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor s Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference. At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: Learn the languages of machine learning including Hadoop, Mahout, and WekaUnderstand decision trees, Bayesian networks, and artificial neural networksImplement Association Rule, Real Time, and Batch learningDevelop a strategic plan for safe, effective, and efficient machine learning By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper.

Objev podobné jako Machine Learning - Jason Bell

Rethink the roles, responsibilities, and workflow in your blended learning classroom and enjoy balance in your life. Blended learning offers educators the opportunity to reimagine teaching and learning. It allows teachers to partner with their students to assess, track, and reflect on learning. This partnership gives teachers more time and energy to innovate and personalize learning while providing students the opportunity to be active agents driving their own growth. If one thing is certain after the 2019-2020 school year, blended learning is here to stay. Learning must be a shared endeavor between the teacher and the learner. This book provides teachers with strategies to rethink traditional workflows to make teaching practices sustainable. Written by blended learning expert, Catlin Tucker, this resource provides teachers with concrete strategies and resources they can use to partner with their students to actively engage them in setting goals, monitoring their development, reflecting on their growth, using feedback to improve work, assessing the quality of their work, and communicating their progress with parents. Balance With Blended Learning includes Practical strategies for teachers overwhelmed by their workloads Routines and protocols designed to move feedback and assessment into the classroom to eliminate much of the work teachers take home Ready-to-use templates and resources designed to help students take an active role in tracking, monitoring, and reflecting on their progress Vignettes written by teachers across disciplines Stories from the authorâ ²s extensive experience both as a teacher and blended -learning coach Redefining roles in a blended learning classroom encourages students to take ownership over their learning journeys and helps teachers feel more effective, efficient, and energized.

Objev podobné jako Balance With Blended Learning - Catlin R. Tucker

NVIDIA s Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals. -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA Ekman uses a learning technique that in our experience has proven pivotal to successâ ”asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us. -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today s exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience.After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images.Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning NVIDIA s invention of the GPU sparked the PC gaming market. The company s pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others.Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Objev podobné jako Learning Deep Learning - Magnus Ekman

The Complete Guide to Service Learning is the go-to resource in the fast-growing field of service learning. It is an award-winning treasury of service activities, community service project ideas, quotes, reflections, and resources that can help teachers and youth workers engage young hearts and minds in reaching out and giving back. Author and internationally known service learning expert Cathryn Berger Kaye presents service learning—its importance, steps, essential elements, and challenges—within a curricular context and organized by theme. This second edition maintains the easy-to-use format of the original and is enhanced with updated information on service learning programs and pedagogy. Benefits include:A blueprint for service learning, from getting started to assessing the experienceIntegration of K–12 service learning standardsInspiring quotations, background information and resources, preparation activities, real-life examples, and community service project ideas that have worked for other teachers13 thematic chapters covering topics commonly selected for service learning projects such as animal protection and care, elders, emergency readiness, the environment, hunger and homelessness, literacy, special needs, and moreHundreds of real-life field-tested service learning projectsIdeas for fortifying service learning programs by incorporating global literacy and creating a culture of serviceThe online digital content has over 200 pages of forms and bonus materials and includes:All of the planning and tracking forms from the book, many customizable 39 sample planning templates for all service learning themes at each grade level10 original essays written by experts in the field22 author interviews, including interviews with authors Laurie David, Cynthia Lord, Jordan Sonnenblick, Kathe Koja, Danica Novgorodoff, Janet Tashjian, Deborah Ellis, Sonia Levitin, Ellen Senisi, and more!More than 300 additional “Bookshelf” recommendations that describe books that offer teachable moments about community service, responsibility, caring, and helping, as well as ways to encourage discussion and combine literature and service learning.Drawing on her years as a classroom teacher and international service learning consultant, trainer, speaker, and program developer, Cathryn Berger Kaye tells you everything you want and need to know about service learning. Recommended for K–12 teachers and administrators, college and university faculty, youth group leaders, government agencies and nonprofits, and after-school programs. Teachers, parents, and group leaders: Use this valuable resource in a classroom or youth-serving organization, after-school program, or as a family.

Objev podobné jako The Complete Guide to Service Learning - Cathryn Berger Kaye

Selected as the Michigan Council of Teachers of Mathematics winter book club book! Rich tasks, collaborative work, number talks, problem-based learning, direct instruction⠦with so many possible approaches, how do we know which ones work the best? In Visible Learning for Mathematics, six acclaimed educators assert it⠙s not about which one⠔it⠙s about when⠔and show you how to design high-impact instruction so all students demonstrate more than a year⠙s worth of mathematics learning for a year spent in school. That⠙s a high bar, but with the amazing K-12 framework here, you choose the right approach at the right time, depending upon where learners are within three phases of learning: surface, deep, and transfer. This results in visible learning because the effect is tangible. The framework is forged out of current research in mathematics combined with John Hattie⠙s synthesis of more than 15 years of education research involving 300 million students. Chapter by chapter, and equipped with video clips, planning tools, rubrics, and templates, you get the inside track on which instructional strategies to use at each phase of the learning cycle: Surface learning phase: When⠔through carefully constructed experiences⠔students explore new concepts and make connections to procedural skills and vocabulary that give shape to developing conceptual understandings. Deep learning phase: When⠔through the solving of rich high-cognitive tasks and rigorous discussion⠔students make connections among conceptual ideas, form mathematical generalizations, and apply and practice procedural skills with fluency. Transfer phase: When students can independently think through more complex mathematics, and can plan, investigate, and elaborate as they apply what they know to new mathematical situations. To equip students for higher-level mathematics learning, we have to be clear about where students are, where they need to go, and what it looks like when they get there. Visible Learning for Math brings about powerful, precision teaching for K-12 through intentionally designed guided, collaborative, and independent learning.

Objev podobné jako Visible Learning for Mathematics, Grades K-12 - Douglas Fisher, Nancy Frey, John Hattie, Sara Delano Moore, Linda M. Gojak, William Mellman

In November 2008, John Hattieâ ™s ground-breaking book Visible Learning synthesised the results of more than fifteen years research involving millions of students and represented the biggest ever collection of evidence-based research into what actually works in schools to improve learning.Visible Learning for Teachers takes the next step and brings those ground breaking concepts to a completely new audience. Written for students, pre-service and in-service teachers, it explains how to apply the principles of Visible Learning to any classroom anywhere in the world. The author offers concise and user-friendly summaries of the most successful interventions and offers practical step-by-step guidance to the successful implementation of visible learning and visible teaching in the classroom.This book:links the biggest ever research project on teaching strategies to practical classroom implementationchampions both teacher and student perspectives and contains step by step guidance including lesson preparation, interpreting learning and feedback during the lesson and post lesson follow upoffers checklists, exercises, case studies and best practice scenarios to assist in raising achievementincludes whole school checklists and advice for school leaders on facilitating visible learning in their institutionnow includes additional meta-analyses bringing the total cited within the research to over 900comprehensively covers numerous areas of learning activity including pupil motivation, curriculum, meta-cognitive strategies, behaviour, teaching strategies, and classroom managementVisible Learning for Teachers is a must read for any student or teacher who wants an evidence based answer to the question; â ˜how do we maximise achievement in our schools?â ™

Objev podobné jako Visible Learning for Teachers - John Hattie

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field s key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning s relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson s wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

Objev podobné jako Reinforcement Learning - Andrew G. Barto, Richard S. Sutton

Anatomy and Physiology for Nursing and Healthcare Students at a Glance The market-leading at a Glance series is popular among healthcare students and newly qualified practitioners for its concise, simple approach and excellent illustrations. Each bite-sized chapter is covered in a double-page spread with clear, easy-to-follow diagrams, supported by succinct explanatory text. Covering a wide range of topics, books in the at a Glance series are ideal as introductory texts for teaching, learning and revision, and are useful throughout university and beyond. Everything you need to know about anatomy and physiology â ¦ at a Glance! An ideal introduction and revision guide for anatomy and physiology As part of the popular At a Glance series, Anatomy Physiology for Nursing Healthcare Students provides a wonderful introduction to the topic and is written with the student nurse in mind. This is also a useful reference guide for any healthcare professional looking for a quick refresher on the human body. The book strikes a balance between being succinct without being superficial, with concise writing that provides an overview of anatomy and physiology. Helping nurses develop practical skills and deliver increasingly complex care for patients through the study of how the body functions, readers will also find: A user-friendly approach that includes bite-size pieces of information and full-colour diagrams to help students retain, recall, and apply facts to their practiceClinical practice points that aim to encourage readers to relate to the theoretical concepts in practiceNew to the second edition: a chapter on anatomical terms and emphasising the importance of the correct anatomical terminology in communication between healthcare professionalsIncludes access to a companion website with self-assessment questions for each chapter This quick and easy-to-digest introduction to anatomy and physiology is the perfect textbook for nursing students in all fields of practice, allied healthcare students including paramedics and physiotherapists, and newly qualified nurses and nursing associates. It is also an ideal reference book for anyone looking for an overview of the human body. The book is also available in a range of digital formats which allows for easy access on the go. For more information on the complete range of Wiley nursing and health publishing, please visit: www.wiley.com To receive automatic updates on Wiley books and journals, join our email list. Sign up today at www.wiley.com/email All content reviewed by students for students Wiley nursing books are designed exactly for their intended audience. All of our books are developed in collaboration with students. This means that our books are always published with you, the student, in mind. If you would like to be one of our student reviewers, go to www.reviewnursingbooks.com to find out more. This new edition is also available as an e-book. For more details, please see www.wiley.com/buy/9781119757207

Objev podobné jako Anatomy and Physiology for Nursing and Healthcare Students at a Glance - Peate Ian

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naïve Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.

Objev podobné jako An Introduction to Statistical Learning - Trevor Hastie, Robert Tibshirani, Daniela Witten, Gareth James

Effective school leadership is effective leadership, regardless of where it occurs In March 2020, there was no manual for leading schools and school systems during a pandemic. School leaders had to figure things out as the crisis unfolded. But starting now, leaders have the opportunity to prepare for leading schools through distance learning with purpose and intentâ ”using what works best to accelerate studentsâ ™ learning all the while maintaining an indelible focus on equity. Harnessing the insights and experience of renowned educators Douglas Fisher, Nancy Frey, and John Hattie, The Distance Learning Playbook for School Leaders applies the wisdom and evidence of the VISIBLE LEARNING® research to understand what works best. Spanning topics from school climate at a distance, leader credibility, care for self and colleagues, instructional leadership teams, stakeholder advisory groups, and virtual visibility, this comprehensive playbook details the research- and evidence-based strategies school leaders can mobilize to lead the delivery of high-impact learning in an online, virtual, and distributed environment. This powerful guide includes: Actionable insights and hands-on steps for each module to help school leaders realize the evidence-based leadership practices that result in meaningful learning in a distance environment Discussion of equity challenges associated with distance learning, along with examples of how leaders can work to ensure that equity gains that have been realized are not lost. Analysis of the mindsets that empower leaders to manage change, rather than technology Space to write and reflect on current practices and plan future leadership strategies The mindframes for distance learning that serve leaders well in any instructional setting and will position schools after the pandemic to come back better than they were before The Distance Learning Playbook for School Leaders is the essential hands-on guide to leading school and school systems from a distance and delivering on the promise of equitable, quality learning experiences for students. Â

Objev podobné jako The Distance Learning Playbook for School Leaders - John Hattie, Douglas Fisher, Nancy Frey, Dominique Smith

First, let⠙s commend ourselves: how in the midst of a pandemic we faculty stepped up at record speed to teach in such a foreign learning environment. Try we did, adapt we did, and learn we did. But to be clear, and we already recognize this, this past spring was less about distance learning and more about crisis teaching. This time around we have the opportunity to be much more purposeful and intentional, and that⠙s where The Distance Learning Playbook for College and University Instruction will prove absolutely indispensable. Much more than a collection of cool tools and apps, The Distance Learning Playbook for College and University Instruction mobilizes decades of Visible Learning® research to reveal those evidence-based strategies that work best in an online environment. Supplemented by video footage and opportunities to self-assess and reflect, the book addresses every dynamic that must be in place for students to learn, even at a distance: Faculty-student relationships from a distance  Teacher credibility from a distance Teacher clarity from a distance Engaging tasks from a distance Planning learning experiences from a distance Feedback, assessment, and grading from a distance Keeping the focus on learning, from a distance or otherwise What does our post-COVID future hold? We suspect, Fisher, Frey, Almarode, and Hattie write, it will include increased amounts of distance learning. In the meantime, let⠙s seize on what we have learned to improve post-secondary education in any format, whether face-to-face or from a distance. We are all still active faculty members, committed to teaching, scholarship, and service. The unexpected transition to remote learning doesn⠙t mean we no longer know how to teach. We can still impact the lives of our students and know that we made a difference. The Distance Learning Playbook for College and University Instruction will show you how. ~Douglas Fisher, Nancy Frey, John Almarode, and John Hattie

Objev podobné jako The Distance Learning Playbook for College and University Instruction - Douglas Fisher, Nancy Frey, John Hattie, John T. Almarode

Strategies, tools, and motivation for learning a new language Learning A New Language For Dummies explains how you can create a personal plan to achieve your language learning goals. Get research-based suggestions for speeding up your language acquisition and learn about the benefits of leveling up your linguistic ability. Even if you ve never studied a language before, this easy-to-understand guide will prepare you to pick the learning methods that will work best for you. You#ll also get an intro to the basics of how humans learn languages, so you can stay motivated, set realistic goals, and achieve success. No matter what language you want to learn, this Dummies guide will help you start off on the right foot. Choose a language learning approach that fits you and your lifestyleGet step-by-step guidance for making a plan and setting achievable goalsLearn techniques and strategies for learning quicker and retaining moreImprove your odds of success with a foundation of knowledge about the learning process Anyone considering learning a new language or refreshing their knowledge of a languageâ ”and language teachers, tooâ ”will love Learning a New Language For Dummies.

Objev podobné jako Learning A New Language For Dummies - Maria J. Cabrera-Puche

The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you ll find machine learningâ ”the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications. Then, you ll dive into the tools, code, and math that make machine learning goâ ”and you ll even get step-by-step instructions for testing it out on your own. For an easy-to-follow introduction to building smart algorithms, this Dummies guide is your go-to. Piece together what machine learning is, what it can do, and what it can t doLearn the basics of machine learning code and how it integrates with large datasetsUnderstand the mathematical principles that AI uses to make itself smarterConsider real-world applications of machine learning and write your own algorithms With clear explanations and hands-on instruction, Machine Learning For Dummies is a great entry-level resource for developers looking to get started with AI and machine learning.

Objev podobné jako Machine Learning For Dummies - John Paul Mueller, Luca Massaron

Cross-categorical, practical strategies for teaching students with special needs Including Students with Special Needs provides readers with a firm grounding in critical special education concepts, an understanding of the professionals who support students with special needs, knowledge of the procedures that should be followed to ensure that students with special needs rights are upheld, and a wealth of research-based strategies and interventions that we know help foster student success. Filled with realistic school scenarios, additional vignettes of children with disabilities and other special needs, new information on multi-tiered systems of support, and over 400 new reference citations, the 8th Edition introduces pre-service teachers to the complexities, realities, and rewards of being a professional educator today. Also available with MyLab Education MyLabâ„¢ is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student. MyLab Education helps teacher candidates bridge the gap between theory and practiceâ ”better preparing them for success in their future classrooms. Note: You are purchasing a standalone product; MyLab Education does not come packaged with this content. Students, if interested in purchasing this title with MyLab Education, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab Education search for: 0134754093 / 9780134754093 Including Students with Special Needs: A Practical Guide for Classroom Teachers, plus MyLab Education with Pearson eText -- Access Card Package Package consists of: 0134800400 / 9780134800400 MyLab Education with Pearson eText -- Access Card -- for Including Students with Special Needs: A Practical Guide for Classroom Teachers 0134801679 / 9780134801674 Including Students with Special Needs: A Practical Guide for Classroom Teacher

Objev podobné jako Including Students with Special Needs - Marilyn Friend, William Bursuck

Humans learn best from feedbackâ ”we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques youâ ™ll need to implement it into your own projects. Key features â ¢ Structuring problems as Markov Decision Processes â ¢ Popular algorithms such Deep Q-Networks, Policy Gradient method and Evolutionary Algorithms and the intuitions that drive them â ¢ Applying reinforcement learning algorithms to real-world problems Audience Youâ ™ll need intermediate Python skills and a basic understanding of deep learning. About the technology Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior from their own raw sensory input. The system perceives the environment, interprets the results of its past decisions, and uses this information to optimize its behavior for maximum long-term return. Deep reinforcement learning famously contributed to the success of AlphaGo but thatâ ™s not all it can do! Alexander Zai is a Machine Learning Engineer at Amazon AI working on MXNet that powers a suite of AWS machine learning products. Brandon Brown is a Machine Learning and Data Analysis blogger at outlace.com committed to providing clear teaching on difficult topics for newcomers.

Objev podobné jako Deep Reinforcement Learning in Action - Alexander Zai, Brandon Brown

Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, (NLP) expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Key features An overview of NLP and deep learning â ¢ Models for textual similarity â ¢ Deep memory-based NLP â ¢ Semantic role labeling â ¢ Sequential NLP Audience For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required. About the technology Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. Heâ ™s the technical coordinator of two large European Union-funded research security-related projects. Heâ ™s currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university.

Objev podobné jako Deep Learning for Natural Language Processing - Stephan Raaijmakers

Develop a mathematical intuition around machine learning algorithms to improve model performance and effectively troubleshoot complex ML problems. For intermediate machine learning practitioners familiar with linear algebra, probability, and basic calculus. Machine Learning Algorithms in Depth dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today. With a particular emphasis on probability-based algorithms, you will learn the fundamentals of Bayesian inference and deep learning. You will also explore the core data structures and algorithmic paradigms for machine learning. You will explore practical implementations of dozens of ML algorithms, including: Monte Carlo Stock Price Simulation Image Denoising using Mean-Field Variational Inference EM algorithm for Hidden Markov Models Imbalanced Learning, Active Learning and Ensemble Learning Bayesian Optimisation for Hyperparameter Tuning Dirichlet Process K-Means for Clustering Applications Stock Clusters based on Inverse Covariance Estimation Energy Minimisation using Simulated Annealing Image Search based on ResNet Convolutional Neural Network Anomaly Detection in Time-Series using Variational Autoencoders Each algorithm is fully explored with both math and practical implementations so you can see how they work and put into action. About the technology Fully understanding how machine learning algorithms function is essential for any serious ML engineer. This vital knowledge lets you modify algorithms to your specific needs, understand the trade-offs when picking an algorithm for a project, and better interpret and explain your results to your stakeholders. This unique guide will take you from relying on one-size-fits-all ML libraries to developing your own algorithms to solve your business needs.

Objev podobné jako Machine Learning Algorithms in Depth - Vadim Smolyakov

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning â ”also known as data mining or data analyticsâ ” is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using RAn expanded chapter focused on discussion of deep learning techniquesA new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniquesEnd-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presentedA companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.

Objev podobné jako Machine Learning for Business Analytics - Peter Gedeck, Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Inbal Yahav

12 thematic modules for Pre-Intermediate and 10 thematic modules for Elementary and Upper Intermediate, each divided into sections:- Topic Talk (opening page) - networks that provide guided choice by marrying functional language with lexical items- Grammar Skills- Writing Workshop- Speaking WorkshopText Builder in units for process writing Grammar Practice - Grammatical structures compared and contrasted. Students trained in choosing forms that best express given meanings and intentions Language Review/Self Assessment every second module. Revision exercises where students check their answers and use a feedback guide to choose what they need to practise more Listening with two levels of difficulty (slow speed and authentic speed) catering for different levels of students. Also gives the option of listening to the more difficult version after students have listened to the easier level Culture Choice - 6 x lessons at back of Students Book every two units which include cultural input, literature, songs and projects At the back of the Students Book:- Skills Builder - while doing listening, reading, writing and communicative activities, learners are given suport with strategies and language- Culture Choice (optional lessons which present reading texts, poems and songs with projects related to the students own culture)- Language Choice booklet (further practice of vocabulary and grammar with a reference section for each language point that is presented).

Objev podobné jako Choices Pre-Intermediate Students´ Book - Michael Harris

12 thematic modules for Pre-Intermediate and 10 thematic modules for Elementary and Upper Intermediate, each divided into sections:- Topic Talk (opening page) - networks that provide guided choice by marrying functional language with lexical items- Grammar Skills- Writing Workshop- Speaking WorkshopText Builder in units for process writing Grammar Practice - Grammatical structures compared and contrasted. Students trained in choosing forms that best express given meanings and intentions Language Review/Self Assessment every second module. Revision exercises where students check their answers and use a feedback guide to choose what they need to practise more Listening with two levels of difficulty (slow speed and authentic speed) catering for different levels of students. Also gives the option of listening to the more difficult version after students have listened to the easier level Culture Choice - 6 x lessons at back of Students Book every two units which include cultural input, literature, songs and projects At the back of the Students Book:- Skills Builder - while doing listening, reading, writing and communicative activities, learners are given suport with strategies and language- Culture Choice (optional lessons which present reading texts, poems and songs with projects related to the students own culture)- Language Choice booklet (further practice of vocabulary and grammar with a reference section for each language point that is presented).

Objev podobné jako Choices Elementary Students´ Book (Defekt) - Michael Harris

12 thematic modules for Pre-Intermediate and 10 thematic modules for Elementary and Upper Intermediate, each divided into sections:- Topic Talk (opening page) - networks that provide guided choice by marrying functional language with lexical items- Grammar Skills- Writing Workshop- Speaking WorkshopText Builder in units for process writing Grammar Practice - Grammatical structures compared and contrasted. Students trained in choosing forms that best express given meanings and intentions Language Review/Self Assessment every second module. Revision exercises where students check their answers and use a feedback guide to choose what they need to practise more Listening with two levels of difficulty (slow speed and authentic speed) catering for different levels of students. Also gives the option of listening to the more difficult version after students have listened to the easier level Culture Choice - 6 x lessons at back of Students Book every two units which include cultural input, literature, songs and projects At the back of the Students Book:- Skills Builder - while doing listening, reading, writing and communicative activities, learners are given suport with strategies and language- Culture Choice (optional lessons which present reading texts, poems and songs with projects related to the students own culture)- Language Choice booklet (further practice of vocabulary and grammar with a reference section for each language point that is presented).

Objev podobné jako Choices Upper Intermediate Students´ Book (Defekt) - Michael Harris

*12 thematic modules for Pre-Intermediate and 10 thematic modules for Elementary and Upper Intermediate, each divided into sections: - Topic Talk (opening page) - networks that provide guided choice by marrying functional language with lexical items - Grammar Skills - Writing Workshop - Speaking Workshop *Text Builder in units for process writing *Grammar Practice - Grammatical structures compared and contrasted. Students trained in choosing forms that best express given meanings and intentions *Language Review/Self Assessment every second module. Revision exercises where students check their answers and use a feedback guide to choose what they need to practise more *Listening with two levels of difficulty (slow speed and authentic speed) catering for different levels of students. Also gives the option of listening to the more difficult version after students have listened to the easier level *Culture Choice - 6 x lessons at back of Students Book every two units which include cultural input, literature, songs and projects * At the back of the Students Book: - Skills Builder - while doing listening, reading, writing and communicative activities, learners are given suport with strategies and language - Culture Choice (optional lessons which present reading texts, poems and songs with projects related to the students own culture) - Language Choice booklet (further practice of vocabulary and grammar with a reference section for each language point that is presented).

Objev podobné jako Choices Intermediate Students

12 thematic modules for Pre-Intermediate and 10 thematic modules for Elementary and Upper Intermediate, each divided into sections:- Topic Talk (opening page) - networks that provide guided choice by marrying functional language with lexical items- Grammar Skills- Writing Workshop- Speaking WorkshopText Builder in units for process writing Grammar Practice - Grammatical structures compared and contrasted. Students trained in choosing forms that best express given meanings and intentions Language Review/Self Assessment every second module. Revision exercises where students check their answers and use a feedback guide to choose what they need to practise more Listening with two levels of difficulty (slow speed and authentic speed) catering for different levels of students. Also gives the option of listening to the more difficult version after students have listened to the easier level Culture Choice - 6 x lessons at back of Students Book every two units which include cultural input, literature, songs and projects At the back of the Students Book:- Skills Builder - while doing listening, reading, writing and communicative activities, learners are given suport with strategies and language- Culture Choice (optional lessons which present reading texts, poems and songs with projects related to the students own culture)- Language Choice booklet (further practice of vocabulary and grammar with a reference section for each language point that is presented).

Objev podobné jako Choices Elementary Students´ Book - Michael Harris

An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts deep learning into a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference. With contributions from top scientists and domain experts from places such as Google, DeepMind, Amazon, Purdue University, NYU, and the University of Washington, this rigorous book is essential to understanding the vital issues in machine learning.Covers generation of high dimensional outputs, such as images, text, and graphs Discusses methods for discovering insights about data, based on latent variable models Considers training and testing under different distributionsExplores how to use probabilistic models and inference for causal inference and decision makingFeatures online Python code accompanimentÂ

Objev podobné jako Probabilistic Machine Learning - Kevin P. Murphy

Providing real-life clinical experiences and context to medical students is an essential part of today s medical education, and the partnerships between medical schools and health systems are an integral part of this approach. Value-Added Roles for Medical Students, the second volume in the American Medical Association s MedEd Innovation Series, is a first-of-its-kind, instructor-focused field book that inspires educators to transform the relationship between medical schools and health systems with authentic workplace roles for medical students, adding relevance to medical education and patient care. Gives instructors the tools needed to create roles for medical students in the health system that benefit the student s growth, empathy, and understanding of patient needs; develop a working knowledge of the health system itself; and provide true value to both the health system and patient experience. Contains both theoretical and practical material for instructors and administrators, including guidance on how to implement value-added roles for medical students in today s institutions. Explains how to apply a framework to implement value-added clinical systems learning roles for students, develop meaningful medical school-health system partnerships, and train a generation of future physicians prepared to lead health systems change. Provides numerous examples from schools with successful implementation of value-added medical student roles such as patient navigators, community-based health care programs involving medical students, and more. Describes real-world strategies for building mutually beneficial medical school-health system partnerships, including developing a shared vision and strategy and identifying learning goals and objectives; empowering broad-based action and overcoming barriers in implementation; and generating short-term wins in implementation. Helps medical school faculty and instructors address gaps in physician training and prepare new doctors to practice effectively in 21st century health care systems. One of the American Medical Association Change MedEd initiatives and innovations, written and edited by members of the Accelerating Change in Medical Education Consortium - a unique, innovative collaborative that allows for the sharing and dissemination of groundbreaking ideas and projects. Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.

Objev podobné jako Value-Added Roles for Medical Students - Gregory W., MD Schneider, Maya M. Hammoud, Jed D. Gonzalo

The Compact Oxford English Dictionary for Students is specifically designed to meet the needs of today s students. With over 144,000 words, phrases, and definitions, it offers comprehensive coverage of current English and is perfect for student reference and everyday study needs. A simple defining style, and a clear colour layout, ensure the dictionary text is accessible and easy to use. Throughout the dictionary text there are notes giving advice on the use of good English, and highlighting the differences between commonly confused words such as empathy and sympathy, and affect and effect, as well as thousands of example phrases showing words in context.The dictionary has been market-tested with both teachers and students. Of particular relevance is the centre supplement, which gives lots of practical information - how to research and take notes, how to write essays, dissertations, reports, and summaries, advice on note-taking and referencing, and preparing CVs and job applications - to help students do better in their studies. It also provides help with English grammar, spelling, and punctuation, to help students get it right every time.As well as the printed book, there is an Online Resource Centre, accessed via weblinks given in the book, which gives additional information and study skills support.This portable and affordable dictionary is an essential reference tool for all college and university students who need practical advice and tips to tackle their studies, and those who want to write effectively and with confidence.

Objev podobné jako Compact Oxford English Dictionary for University and College Students - Oxford Languages

The main feature of an outstanding lesson is that all students make progress. Taking the structure of a lesson as the starting point, this book demonstrates how assessment for learning can be used to enhance and support all aspects of the learning process. Including chapters on embedding assessment during each phase of the lesson, using assessment data to inform planning, questioning techniques and feedback, the book will help you to use assessment effectively to produce outstanding results. Packed full of practical strategies, this book shows you how you can make assessment meaningful in the classroom, directly impacting your students and creating a more autonomous learning environment. It is written specifically with the class teacher in mind and draws on a range of different examples across many subjects to deliver ideas that can be translated with ease to everyday teaching practices.With a strong focus on including assessment practices in the planning process to achieve outstanding results, this book covers:assessment for learning and an overview of the learning cyclepractical teaching strategies and effective techniques to use in the classroommarking, feedback and using data to drive learningembedding assessment for learning in your classroom, department and schoolAn effective guide for outstanding teaching and learning, this book offers an innovative approach and is packed full of practical exercises that are easy to apply in the classroom, proving essential reading for newly qualified and experienced teachers alike.

Objev podobné jako Outstanding Assessment for Learning in the Classroom - Jayne Bartlett

We are in this together and will get through this together  Parent involvement has always been a vital part of any child⠙s education, but the pandemic and resulting remote instruction require that parents and educators partner at a deeper level.  Following the tremendous success of The Distance Learning Playbook, K-12, education authorities Doug Fisher, Nancy Frey, and John Hattie have teamed up with New York Times bestselling author and parenting expert Rosalind Wiseman to bring you the consummate guide to support your child⠲s academic, social, and emotional development in any learning environment ⠓ while not overwhelming you in the process.  This essential guide will arm you with the tools and insight to Create an environment conducive to learning, establish routines, and most importantly, take care of yourself and your child Maximize the time you spend supporting learning by focusing on what is proven to work best in education Help your child develop the cognitive attitudes and habits that foster creativity, critical thinking, and increased responsibility for their learning Support the development of your child⠙s social and emotional learning skills, including the ability to navigate social interactions, build friendships, and regulate emotions at a time when they have never been more important to have, and more challenging to maintain The Distance Learning Playbook for Parents outlines supportive strategies for navigating virtual environments to ensure effective and impactful learning that aligns the needs and expectations of teachers, parents, and students alike.

Objev podobné jako The Distance Learning Playbook for Parents - John Hattie, Douglas Fisher, Nancy Frey, Rosalind Wiseman

Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the ⠜brain⠝ behind the world⠙s smartest Artificial Intelligence systems out there. Grokking Deep Learning is the perfect place to begin the deep learning journey. Rather than just learning the ⠜black box⠝ API of some library or framework, readers will actually understand how to build these algorithms completely from scratch. Key Features:Build neural networks that can see and understand images Build an A.I. that will learn to defeat you in a classic Atari gameHands-on Learning Written for readers with high school-level math and intermediateprogramming skills. Experience with Calculus is helpful but notrequired. ABOUT THE TECHNOLOGY Deep Learning is a subset of Machine Learning, which is a field dedicated to the study and development of machines that can learn, often with the goal of eventually attaining general artificial intelligence.

Objev podobné jako Grokking Deep Learning - Andrew W Trask

Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you ll discover just how effective and fun PyTorch can be. Key features â ¢ Using the PyTorch tensor API â ¢ Understanding automatic differentiation in PyTorch â ¢ Training deep neural networks â ¢ Monitoring training and visualizing results â ¢ Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.

Objev podobné jako Deep Learning with PyTorch - Eli Stevens, Luca Antiga

Based on a solid theoretical basis of assessment-as-learning and updated empirical evidences, this timely book significantly expands the existing scope of assessment-as-learning typically developed in Western contexts.This edited volume updates theoretical and empirical advances in assessment-as-learning in complex learning processes, brought together by an international panel of authors. The contributors provide a wide range of practical ways to harness the power of assessment-as-learning to make it work more effectively not only in the classroom, but also across other achievement-related situations (e.g. examinations, learning processes before and after classes).Assessment as Learning provides a deep contemporary insight into the field of formative assessment, and brings much-needed international perspectives to complement the current Western-focused research. This is a valuable contribution to the discussion, and provides useful insight for researchers in Education.

Objev podobné jako Assessment as Learning

Effectively assess learning in the most critical years of a child⠲s developmentYoung children⠙s learning in preschool and childcare settings sets the foundation for the elementary school years to come. Skills in speaking, listening, reading, math, science, and the arts develop inside everyday instructional routines that teachers and childcare providers make available to children. How can educators be sure of what their children are learning and how to support their progress?Listening to Learning provides pre-service and in-service teachers and childcare providers working with young learners with an innovative and practical way to assess children⠙s learning while they are engaged in daily instructional routines. This book offers: Methods for observing, documenting, and analyzing what and how young children are learning Strategies for monitoring children⠲s progress across various areas, including sciences, arts, mathematics, language arts, and play Approaches for making informed instructional adaptations that address the developmental needs of young learners from diverse home and community settings A framework that shows how instructional routine activities can be used to bridge classroom assessment with the teaching and learning processWith years of expertise and a thorough analysis of assessment techniques, the authors effectively showcase the power of instructional routines as a tool for understanding and enhancing student learning in these most formative years of development.

Objev podobné jako Listening to Learning - Gillian Dowley McNamee, Jie-Qi Chen