deep learning at scale suneeta mall

This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project.

Objev podobné jako Deep Learning at Scale - Suneeta Mall

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 ... Unknown localization key: "more"

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

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. • Foundational reinforcement learning concepts and methods • The most popular deep reinforcement learning agents solving high-dimensional environments • 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 ... Unknown localization key: "more"

Objev podobné jako Grokking Deep Reinforcement Learning - Miguel Morales

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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 • Using the PyTorch tensor API • Understanding automatic differentiation in PyTorch • Training deep neural networks • Monitoring training and visualizing results • 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 ... Unknown localization key: "more"

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

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

Humans learn best from feedback—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 you’ll need to implement it into your own projects. Key features • Structuring problems as Markov Decision Processes • Popular algorithms such Deep Q-Networks, Policy Gradient method and Evolutionary Algorithms and the intuitions that drive them • Applying reinforcement learning algorithms to real-world problems Audience You’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 that’s not all it can do! Alexander Zai is a Machine Learning Engineer at Amazon AI working on ... Unknown localization key: "more"

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 • Models for textual similarity • Deep memory-based NLP • Semantic role labeling • 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. He’s the technical coordinator of two large European Union-funded research security-related ... Unknown localization key: "more"

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

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 success—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 ... Unknown localization key: "more"

Objev podobné jako Learning Deep Learning - Magnus Ekman

The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions.

Objev podobné jako The Science of Deep Learning - Iddo Drori

The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you''ll peer inside the “black box” to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. about the technology It''s important to understand how your deep learning models work, both so that you can maintain them efficiently and explain them to other stakeholders. Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. You''ll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, you''ll be glad you can quickly identify and fix problems. about the book Math and Architectures of Deep Learning sets out the foundations of DL in a way that''s both useful and accessible to working practitioners. Each chapter explores a new fundamental DL concept ... Unknown localization key: "more"

Objev podobné jako Math and Architectures of Deep Learning - Krishnendu Chaudhury

Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, game playing, molecular recombination, and robotics. In all these fields, computer programs have taught themselves to understand problems that were previously considered to be very difficult. In the game of Go, the program AlphaGo has even learned to outmatch three of the world''s leading players.Deep reinforcement learning takes its inspiration from the fields of biology and psychology. Biology has inspired the creation of artificial neural networks and deep learning, while psychology studies how animals and humans learn, and how subjects'' desired behavior can be reinforced with positive and negative stimuli. When we see how reinforcement learning teaches a simulated robot to walk, we are reminded of how children learn, through playful exploration. Techniques that are inspired by biology and psychology work amazingly well in computers: animal behavior and the structure of the brain as new blueprints for science and engineering. In fact, computers truly seem to possess aspects of human behavior; as such, this field goes to the heart of the dream of artificial intelligence. These research advances have not gone unnoticed by educators. Many universities have begun offering courses ... Unknown localization key: "more"

Objev podobné jako Deep Reinforcement Learning - Aske Plaat

An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics.Up-to-date treatment of deep learning covers cutting-edge topics not found in existing texts, such as transformers and diffusion modelsShort, focused chapters progress in complexity, easing students into difficult concepts Pragmatic approach straddling theory and practice gives readers the level of detail required to implement naive versions of modelsStreamlined presentation separates critical ideas from background context and extraneous detailMinimal mathematical prerequisites, extensive illustrations, and practice problems make challenging ... Unknown localization key: "more"

Objev podobné jako Understanding Deep Learning - Simon J.D. Prince

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

Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.

Objev podobné jako Deep Learning Crash Course - Benjamin Midtvedt, Jesus Pineda, Giovanni Volpe

Computer vision-based crack-like object detection has many useful applications, such as inspecting/monitoring pavement surface, underground pipeline, bridge cracks, railway tracks etc. However, in most contexts, cracks appear as thin, irregular long-narrow objects, and often are buried in complex, textured background with high diversity which make the crack detection very challenging. During the past a few years, deep learning technique has achieved great success and has been utilized for solving a variety of object detection problems.This book discusses crack-like object detection problem comprehensively. It starts by discussing traditional image processing approaches for solving this problem, and then introduces deep learning-based methods. It provides a detailed review of object detection problems and focuses on the most challenging problem, crack-like object detection, to dig deep into the deep learning method. It includes examples of real-world problems, which are easy to understand and could be a good tutorial for introducing computer vision and machine learning.

Objev podobné jako Deep Learning for Crack-Like Object Detection - Heng-Da Cheng, Kaige Zhang

This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.

Objev podobné jako System Design for Epidemics Using Machine Learning and Deep Learning

This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems.Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-LSTM, exhibiting high accuracy and efficiency. Additionally, a physics-informed DL structure along with a nonlinear mapping module are employed to obtain the space/temperature/time-related thermal conductivity via the transient temperature in Chapter 4. Finally, in Chapter 5, a series of the latest advanced frameworks and the corresponding physics applications are introduced.As deep learning techniques are experiencing vigorous development in computational physics, more people desire related reading materials. This book is intended for graduate students, professional practitioners, and researchers who are interested in DL for computational physics.

Objev podobné jako Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems - Qiang Ren, Yinpeng Wang

“Biggs and Tang, now with Kennedy, have ensured this new edition remains an international leader for university teaching for the next decade.”Denise Chalmers AM, Emeritus Professor, University of Western Australia, Australia“This book, a fifth edition, can truly be called a “classic” on the topic of teaching, learning and curriculum design in higher education.”Michael Prosser, Honorary Professorial Fellow, Centre for the Study of Higher Education, University of Melbourne, Australia“You should be inspired to increase the quality of your teaching, your learning, and your learning about teaching.”John R. Kirby, Professor Emeritus of Educational Psychology, Queen’s University, CanadaThe concept of constructive alignment has supported generations of students and teachers within higher education. It is a ‘backward design’ method of teaching where the student outcomes are identified first and the teacher then designs teaching activities to enable students to achieve those outcomes, assessing how well they have been achieved. Each chapter outlines how to design the learning outcomes, teaching and assessments for success in learning. This updated edition of Teaching for Quality Learning at University: • Provides a comprehensive, research-based theory of teaching for teacher reflection • Outlines how educational technology can be used in constructively aligned teaching • Helps staff developers to provide ... Unknown localization key: "more"

Objev podobné jako Teaching for Quality Learning at University 5e - Catherine Tang, John Biggs, Gregor Kennedy

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch

Objev podobné jako Generative Deep Learning - David Foster

Understand what metacognition is and how you can apply it to your secondary school teaching to support deep and effective learning in your classroom. Metacognition is a popular topic in teaching and learning debates, but it’s rarely clearly defined and can be difficult for teachers to understand how it can be applied in the classroom. This book offers a clear introduction to applying metacognition in secondary teaching, exploring the ‘what’, ‘when/how’ and ‘why’ of using metacognition in classrooms with real life examples of how this works in practice. This is a detailed and accessible resource that offers guidance that teachers can start applying to their own lesson planning immediately, across secondary subjects. Nathan Burns is the founder of @MetacognitionU and has written metacognitive teaching resources for TES and Oxford University Press. He is Head of Maths in a Derbyshire school. Â

Objev podobné jako Inspiring Deep Learning with Metacognition - Nathan Burns

Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.

Objev podobné jako Deep Learning for Cognitive Computing Systems

Deep Learning: A Visual Approach helps demystify the algorithms that enable computers to drive cars, win chess tournaments, and create symphonies, while giving readers the tools necessary to build their own systems to help them find the information hiding within their own data, create ''deep dream'' artwork, or create new stories in the style of their favorite authors.

Objev podobné jako Deep Learning - Andrew Glassner

Elektronická kniha - autor François Chollet, 328 stran, česky Strojové učení zaznamenalo v posledních letech pozoruhodný pokrok od téměř nepoužitelného rozpoznávání řeči a obrazu k nadlidské přesnosti. Od programů, které nedokázaly porazit jen trochu zkušenějšího hráče go, jsme dospěli k přemožiteli mistra světa. Za pokrokem ve vývoji učících se programů stojí tzv. hluboké učení (deep learning) – kombinace technických vylepšení, osvědčených postupů a teorií, které umožnily vyvinout množství dříve nerealizovatelných inteligentních aplikací. S jejich pomocí pak můžeme například analyzovat text či mluvené slovo, překládat z jazyka do jazyka, rozpoznávat osoby na sociálních sítích nebo používat samořídící automobily. Tato kniha naučí čtenáře navrhovat hluboce se učící systémy v jazyku Python, který je v současnosti nejpoužívanějším programovacím jazykem pro vývoj těchto systémů, a knihovny Keras a TensorFlow používané většinou vítězů soutěží systémů pro...

Objev podobné jako Deep learning v jazyku Python (978-80-247-3100-1)

Strojové učení zaznamenalo v posledních letech pozoruhodný pokrok a dospělo od téměř nepoužitelného rozpoznávání řeči a obrazu k téměř nadlidské přesnosti, od programů, které nedokázaly porazit jen trochu zkušenějšího hráče šachu, až k přemožitelům mistrů světa.Za pokrokem ve vývoji učících se programů stojí tzv. hluboké učení (deep learning), což je kombinace teorií a osvědčených technických postupů, které umožnily vyvinout řadu dříve nerealizovatelných aplikací. S jejich pomocí můžeme analyzovat a syntetizovat text i mluvené slovo, překládat z jazyka do jazyka, rozpoznávat osoby nebo ovládat samořídící automobily.Kniha naučí čtenáře, jehož znalosti jazyka Python jsou na střední úrovni, navrhovat v tomto jazyku hluboce se učící systémy s pomocí knihoven Keras a TensorFlow, které používá většina autorů vítězných systémů ze soutěží v hlubokém učení. Výklad je založený na intuitivních vysvětleních a praktických příkladech. Náročné koncepty si procvičíte na aplikacích v oblasti počítačového vidění, zpracování přirozeného jazyka a generativních modelů. Získáte tak znalosti a praktické dovednosti, které vám umožní aplikovat hluboké učení ve vlastních projektech.Autorem knihy je François Chollet, tvůrce knihovny Keras a výzkumník v oblasti umělé inteligence společnosti Google. Výklad základních principů hlubokého učení i pokročilých dovedností Tvorba systému hlubokého učení pro počítačové vidění, časové řady, text i generování vlastních výtvorů (například obrázků) Způsob ... Unknown localization key: "more"

Objev podobné jako Deep learning v jazyku Python - 2., rozšířené vydání - François Chollet

This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach.

Objev podobné jako Practical Deep Learning for Cloud and Mobile - Anirudh Koul, Siddha Ganju, Meher Kasam

Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization.

Objev podobné jako Data Management at Scale - Piethein Strengholt

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 facts—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. ... Unknown localization key: "more"

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

Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in production, there are only a few viable language choices for data science and machine learning tasks. Elixir''s Nx project seeks to change that. With Nx, you can leverage the power of machine learning in your applications, using the battle-tested Erlang VM in a pragmatic language like Elixir. In this book, you''ll learn how to leverage Elixir and the Nx ecosystem to solve real-world problems in computer vision, natural language processing, and more.The Elixir Nx project aims to make machine learning possible without the need to leave Elixir for solutions in other languages. And even if concepts like linear models and logistic regression are new to you, you''ll be using them and much more to solve real-world problems in no time.Start with the basics of the Nx programming paradigm - how it differs from the Elixir programming style you''re used to and how it enables you to write machine learning algorithms. Use your understanding of this paradigm to implement foundational machine learning algorithms from scratch. Go deeper and discover the power of ... Unknown localization key: "more"

Objev podobné jako Machine Learning in Elixir - Sean Moriarity

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 ... Unknown localization key: "more"

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

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 ... Unknown localization key: "more"

Objev podobné jako Machine Learning Algorithms in Depth - Vadim Smolyakov

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

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning —also known as data mining or data analytics— 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 ... Unknown localization key: "more"

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

Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real world applications. Learning from hands-on case studies, you''ll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models. About the Technology Ensemble machine learning lets you make robust predictions without needing the huge datasets and processing power demanded by deep learning. It sets multiple models to work on solving a problem, combining their results for better performance than a single model working alone. This "wisdom of crowds" approach distils information from several models into a set of highly accurate results.

Objev podobné jako Ensemble Methods for Machine Learning - Gautam Kunapuli

This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning methods. The chapters of this book span three broad categories:1. Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning and information retrieval: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, transformers, pre-trained language models, text summarization, information extraction, knowledge graphs, question answering, opinion mining, text segmentation, and event detection. Compared to the first edition, this second edition textbook (which targets mostly advanced level students majoring in computer science and math) has substantially more material on deep learning and natural language processing. Significant ... Unknown localization key: "more"

Objev podobné jako Machine Learning for Text - Charu C. Aggarwal

Level: KS1Subject: MathsAn engaging Addition and Subtraction activity book to really help boost your child’s progress at every stage of their learning!Including helpful questions and answers, this Maths book provides reassurance whilst supporting your child’s learning at home.Combining useful Maths practice with engaging, colourful illustrations, this Addition and Subtraction practice book helps to boost your child’s confidence and develop good learning habits for life. Each fun activity is designed to give your child a real sense of achievement.Included in this book:questions that allow children to practise the important skills learned at schoolcolourful activities that make learning fun and motivate children to learn at homehelpful tips and answers so that you can support your child’s learning

Objev podobné jako Addition and Subtraction Ages 5-7 - Collins Easy Learning

Develop Key Stage 1 maths skills with your favourite Disney and Pixar characters!Give your child’s KS1 maths skills a boost with Disney Learning: Maths. Perfect for kids aged 5-6, the fun, simple exercises make maths enjoyable at the Year 1 level, with review pages to help you track your child’s progress.In this maths workbook, children can complete activities to build on their maths skills all year round. The easy directions and visual clues promote self-directed learning, while favourite Disney and Pixar characters join them every step of the way, inspiring them to excel during the school year – and beyond!This fun maths workbook for children offers:Curriculum-aligned learning material that’s been approved by educational experts, with clear levelling guidance to ensure your child is learning at the correct levelMaths exercises including counting in tens, numbers to 20, 2D & 3D shapes, measuring & data, and addition & subtraction problemsParent/carer notes and review pages to provide support on how best to use this book for your childA completion certificate and 50 stickers to reward learners as they progressSo, what are you waiting for? With the charming cast of Disney and Pixar characters as your guide, learning maths for kids aged 5-6 has ... Unknown localization key: "more"

Objev podobné jako Disney Learning Maths (Ages 5-6) - DK

Develop Year 1 maths and English skills with your favourite Disney characters!Get your child ready for KS1 maths and English with Disney Learning: My Big Workbook Ages 5-6. Perfect for kids entering the Key Stage 1 phase, the fun, simple exercises make it easier than ever to boost understanding in vital school subjects, with review pages to help you track your child’s progress.In this English and maths workbook, children can complete activities to build on their basic school skills all year round. The easy directions and visual clues promote self-directed learning, while favourite Disney characters join them every step of the way, inspiring them to excel during the school year – and beyond!This fun Year 1 workbook for children offers:Curriculum-aligned learning material that’s been approved by educational experts, with clear levelling guidance to ensure your child is learning at the correct levelComprehensive KS1 exercises including counting, addition, subtraction, measurement, learning letter sounds, comprehension, and practising writingParent/carer notes and review pages to provide support on how best to use this book for your childA completion certificate and 50 stickers to reward learners as they progressSo, what are you waiting for? With the charming cast of Disney characters as your guide, learning ... Unknown localization key: "more"

Objev podobné jako Disney Learning Big Workbook Ages 5-6 (Year 1) - DK

Develop core preschool maths skills with your favourite Disney and Pixar characters!Give your child’s basic maths skills a boost with Disney Learning: Get Ready for Maths. Perfect for kids aged 3-5, the fun, simple exercises make maths enjoyable at the preschool level, with review pages to help you track your child’s progress.In this maths workbook, preschool kids will strengthen their basic maths skills through age-appropriate activities. The easy directions and visual clues promote self-directed learning while favourite Disney and Pixar characters will join them every step of the way, inspiring them to get a head start for school!This fun maths workbook for children offers:Curriculum-aligned learning material that’s been approved by educational experts, with clear levelling guidance to ensure your child is learning at the correct levelMaths exercises including counting from 1 to 20, shapes, matching & sorting, comparisons and ‘in, on or under’ activitiesParent/carer notes and review pages to provide support on how best to use this book for your childA completion certificate and 50 stickers to reward learners as they progressSo, what are you waiting for? With the charming cast of Disney and Pixar characters as your guide, learning maths for kids aged 3-5 has never been more fun!© ... Unknown localization key: "more"

Objev podobné jako Disney Learning Get Ready for Maths (Ages 3-5) - DK

Level: EYFSSubject: MathsAn engaging Maths activity book to really help boost your child’s progress at every stage of their learning! Fully in line with the Early Years Foundation Stage, this book provides reassurance whilst supporting your child’s learning at home.Combining useful practice with engaging, colourful illustrations, this Maths practice book helps to boost your child’s confidence and develop good learning habits for life. Each fun activity is designed to give your child a real sense of achievement.Included in this book:questions that allow children to practise the important skills learned at schoolcolourful activities that make learning fun and motivate children to learn at homehelpful tips and answers so that you can support your child’s learning

Objev podobné jako Maths Ages 3-5 - Collins Easy Learning

Develop Year 3 maths and English skills with your favourite Disney and Pixar characters!Get your child ready for KS1 maths and English with Disney Learning: My Big Workbook Ages 7-8. Perfect for kids concluding the Key Stage 1 phase, the fun, simple exercises make it easier than ever to boost understanding in vital school subjects, with review pages to help you track your child’s progress.In this English and maths workbook, children can complete activities to build on their basic school skills all year round. The easy directions and visual clues promote self-directed learning, while favourite Disney and Pixar characters join them every step of the way, inspiring them to excel during the school year – and beyond!This fun Year 3 workbook for children offers:Curriculum-aligned learning material that’s been approved by educational experts, with clear levelling guidance to ensure your child is learning at the correct levelComprehensive KS1 exercises including counting, addition, subtraction, multiplication & division, geometry, measurement & data, phonics, reading, and practising parts of speechParent/carer notes and review pages to provide support on how best to use this book for your childA completion certificate and 50 stickers to reward learners as they progressSo, what are you waiting for? With ... Unknown localization key: "more"

Objev podobné jako Disney Learning Big Workbook Ages 7-8 (Year 3) - DK

Develop Year 4 maths and English skills with your favourite Disney and Pixar characters!Get your child ready for KS2 maths and English with Disney Learning: My Big Workbook Ages 8-9. Perfect for kids entering the Key Stage 2 phase, the fun, simple exercises make it easier than ever to boost understanding in vital school subjects, with review pages to help you track your child’s progress.In this English and maths workbook, children can complete activities to build on their basic school skills all year round. The easy directions and visual clues promote self-directed learning, while favourite Disney and Pixar characters join them every step of the way, inspiring them to excel during the school year – and beyond!This fun Year 4 workbook for children offers:Curriculum-aligned learning material that’s been approved by educational experts, with clear levelling guidance to ensure your child is learning at the correct levelComprehensive KS2 exercises including multiplication & division, patterns & algebra, geometry, measurement & data, word knowledge & comprehension, reading, and parts of speechParent/carer notes and review pages to provide support on how best to use this book for your childA completion certificate and 50 stickers to reward learners as they progressSo, what are you waiting ... Unknown localization key: "more"

Objev podobné jako Disney Learning Big Workbook Ages 8-9 (Year 4) - DK

Learn to read with your favourite Disney characters!Get your child started on their reading journey with Disney Learning: Starting to Read. Perfect for kids aged 3-5, the fun, simple exercises make reading enjoyable at the preschool level, with review pages to help you track your child’s progress.This reading workbook introduces preschool kids to the alphabet and letter sounds, and reinforces this learning with dozens of reading and writing exercises that engage their minds and boost their confidence. Favourite Disney characters will join them every step of the way, inspiring them to get a head start for school!This fun reading workbook for children offers:Curriculum-aligned learning material that’s been approved by educational experts, with clear levelling guidance to ensure your child is learning at the correct levelReading and writing exercises including letter recognition, handwriting, letter sounds, rhymes, and upper & lowercase lettersParent/carer notes and review pages to provide support on how best to use this book for your childA completion certificate and 50 stickers to reward learners as they progressSo, what are you waiting for? With the charming cast of Disney characters as your guide, learning to read for kids aged 3-5 has never been more fun!© 2025 Disney

Objev podobné jako Disney Learning Starting to Read (Ages 3-5) - DK

Level: KS2Subject: MathsAn engaging Mental Maths activity book to really help boost your child’s progress at every stage of their learning!Including helpful questions and answers, this Maths book provides reassurance whilst supporting your child’s learning at home.Combining useful Maths practice with engaging, colourful illustrations, this Mental Maths practice book helps to boost your child’s confidence and develop good learning habits for life. Each fun activity is designed to give your child a real sense of achievement.Included in this book:questions that allow children to practise the important skills learned at schoolcolourful activities that make learning fun and motivate children to learn at homehelpful tips and answers so that you can support your child’s learning

Objev podobné jako Mental Maths Ages 7-9 - Collins Easy Learning

This social and emotional learning (SEL) workbook for kindergarten students provides daily activities to learn about emotions, actions, relationships, and decision making.180 Days™: Social-Emotional Learning for KindergartenUses daily activities to promote students’ self-awareness, analyze relationships, discover diverse perspectives, and apply what they have learnedBuilds student''s confidence in self-reflection and growth through the use of fiction and nonfiction textsMakes at-home learning, whole class instruction, or small group support, quick and easyConnections will be made to the CASEL competencies, mindfulness, and key affective education initiativesParents appreciate the teacher-approved activity books that keep their child engaged and learning. Great for homeschooling, to reinforce learning at school, and build connections between home and school.Teachers rely on the daily practice workbooks to save them valuable time. The ready to implement activities are perfect to introduce SEL topics for discussion.

Objev podobné jako 180 Daysâ„¢: Social-Emotional Learning for Kindergarten - Jodene Smith, Brenda A. Van Dixhorn

Level: KS2Subject: EnglishMotivating English for Year 6An engaging English activity book to really help boost your child’s progress at every stage of their learning! Including helpful questions and answers, this English book provides reassurance whilst supporting your child’s learning at home.Combining useful English practice with engaging, colourful illustrations, this English practice book helps to boost your child’s confidence and develop good learning habits for life. Each fun activity is designed to give your child a real sense of achievement.Included in this book:questions that allow children to practise the important skills learned at schoolcolourful activities that make learning fun and motivate children to learn at homehelpful tips and answers so that you can support your child’s learning

Objev podobné jako English Ages 9-11 - Collins Easy Learning

Level: KS2Subject: EnglishAn engaging English activity book to really help boost your child’s progress at every stage of their learning!Including helpful questions and answers, this English book provides reassurance whilst supporting your child’s learning at home.Combining useful English practice with engaging, colourful illustrations, this English practice book helps to boost your child’s confidence and develop good learning habits for life. Each fun activity is designed to give your child a real sense of achievement.Included in this book:questions that allow children to practise the important skills learned at schoolcolourful activities that make learning fun and motivate children to learn at homehelpful tips and answers so that you can support your child’s learning

Objev podobné jako English Ages 8-10 - Collins Easy Learning

Level: KS2Subject: EnglishAn engaging Grammar and Punctuation activity book to really help boost your child’s progress at every stage of their learning!Including helpful questions and answers, this English book provides reassurance whilst supporting your child’s learning at home.Combining useful English practice with engaging, colourful illustrations, this Grammar and Punctuation practice book helps to boost your child’s confidence and develop good learning habits for life. Each fun activity is designed to give your child a real sense of achievement.Included in this book:questions that allow children to practise the important skills learned at schoolcolourful activities that make learning fun and motivate children to learn at homehelpful tips and answers so that you can support your child’s learning

Objev podobné jako Grammar and Punctuation Ages 7-9 - Collins Easy Learning

Level: EYFS early years foundation stageSubject: MathsAn engaging Numbers activity book to really help boost your child’s progress at every stage of their learning!Fully in line with the Early Years Foundation Stage, this Maths book provides reassurance whilst supporting your child’s learning at home.Combining useful Maths practice with engaging, colourful illustrations, this Numbers workbook helps to boost your child’s confidence and develop good learning habits for life. Each fun activity is designed to give your child a real sense of achievement.Included in this book:questions that allow children to practise the important skills learned at schoolcolourful activities that make learning fun and motivate children to learn at homehelpful tips and answers so that you can support your child’s learning

Objev podobné jako Numbers Workbook Ages 3-5 - Collins Easy Learning

Level: EYFSSubject: EnglishAn engaging Writing activity bumper book to really help boost your child’s progress at every stage of their learning! Fully in line with the Early Years Foundation Stage, this English book provides reassurance whilst supporting your child’s learning at home.Combining useful English practice with engaging, colourful illustrations, this Writing bumper book helps to boost your child’s confidence and develop good learning habits for life. Each fun activity is designed to give your child a real sense of achievement.Included in this book:questions that allow children to practise the important skills learned at schoolcolourful activities that make learning fun and motivate children to learn at homehelpful tips and answers so that you can support your child’s learning

Objev podobné jako Writing Bumper Book Ages 3-5 - Collins Easy Learning

Level: EYFS early years foundation stageSubject: EnglishAn engaging Writing activity book to really help boost your child’s progress at every stage of their learning!Fully in line with the Early Years Foundation Stage, this English book provides reassurance whilst supporting your child’s learning at home.Combining useful English practice with engaging, colourful illustrations, this Writing workbook helps to boost your child’s confidence and develop good learning habits for life. Each fun activity is designed to give your child a real sense of achievement.Included in this book:questions that allow children to practise the important skills learned at schoolcolourful activities that make learning fun and motivate children to learn at homehelpful tips and answers so that you can support your child’s learning

Objev podobné jako Writing Workbook Ages 3-5 - Collins Easy Learning