data science and machine learning for non programmers dothang truong

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize machine learning effectively.Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders.Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers, and industry professionals from various backgrounds.

Objev podobné jako Data Science and Machine Learning for Non-Programmers - Dothang Truong

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.

Objev podobné jako The Statistical Physics of Data Assimilation and Machine Learning - Henry D. I. Abarbanel

Scale has been the central promise of the digital turn. The creation of corpora such as EEBO and EEBO-TCP have eased the logistics of access to primary sources for scholars of Shakespeare and early English literature and culture and fundamentally altered the ways in which we retrieve, read, think about, and analyze texts. However, the large-scale curation of historical corpora poses unique challenges and requires scholarly insight and significant algorithmic intervention. In sectionschapters on ''Text,'' ''Corpus,'' ''Search,'' and ''Discovery,'' this Eelement problematizes the specific affordances of computation and scale as primary conceptual categories rather than incidental artifacts of digitization. From text-encoding and search to corpus-scale data visualization and machine-learning, it discusses a range of computational techniques that can facilitate corpus curation and enable exploratory, experimental modes of discovery that not only serve as tools to ease access but accommodate and respond to the demands of humanistic inquiry.

Objev podobné jako Shakespeare and Scale - Anupam Basu

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A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML). Applied Machine Learning for Data Science Practitioners offers a practical, step-by-step guide to building end-to-end ML solutions for real-world business challenges, empowering data science practitioners to make informed decisions and select the right techniques for any use case. Unlike many data science books that focus on popular algorithms and coding, this book takes a holistic approach. It equips you with the knowledge to evaluate a range of techniques and algorithms. The book balances theoretical concepts with practical examples to illustrate key concepts, derive insights, and demonstrate applications. In addition to code snippets and reviewing output, the book provides guidance on interpreting results. This book is an essential resource if you are looking to elevate your understanding of ML and your technical capabilities, combining theoretical and practical coding examples. A basic understanding of using data to solve business problems, high school-level math and statistics, and basic Python coding skills are assumed. Written by a recognized data science expert, Applied Machine Learning for Data Science Practitioners covers essential topics, including: Data Science Fundamentals that provide you with an overview of core concepts, laying the ... Unknown localization key: "more"

Objev podobné jako Applied Machine Learning for Data Science Practitioners - Vidya Subramanian

The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning—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 go—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

Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of ... Unknown localization key: "more"

Objev podobné jako Machine Learning for Business Analytics

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

This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a problem they wish to solve. In addition, this book includes numerous case studies, ranging from simple time-series forecasting to object recognition and recommender systems using massive databases. Lastly, this book also provides practical implementation examples and assignments for the readers to practice and improve their programming capabilities for the ML applications.

Objev podobné jako Machine Learning for Computer Scientists and Data Analysts - Houman Homayoun, Zhiqian Chen, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of "black-box" in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially ... Unknown localization key: "more"

Objev podobné jako Human and Machine Learning

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning—also known as data mining or predictive 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 with Analytic Solver® Data Mining provides a comprehensive introduction and an overview of this methodology. The fourth edition of this best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, time series forecasting 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 fourth edition of Machine Learning for Business Analytics also includes: An expanded chapter on deep learningA 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 ... Unknown localization key: "more"

Objev podobné jako Machine Learning for Business Analytics - Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Kuber R. Deokar

Machine learning can help managers make better predictions, automate complex tasks and improve business operations. Managers who are familiar with machine learning are better placed to navigate the increasingly digital world we live in. There is a view that machine learning is a highly technical subject that can only be understood by specialists. However, many of the ideas that underpin machine learning are straightforward and accessible to anyone with a bit of curiosity. This book is for managers who want to understand what machine learning is about, but who lack a technical background in computer science, statistics or math. The book describes in plain language what machine learning is and how it works. In addition, it explains how to manage machine learning projects within an organization. This book should appeal to anyone that wants to learn more about using machine learning to drive value in real-world organizations.

Objev podobné jako Machine Learning for Managers - Paul Geertsema

Multivariate Statistics and Machine Learning is a hands-on textbook providing an in-depth guide to multivariate statistics and select machine learning topics using R and Python software.The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and analyses in R and Python in multivariate, data science, and machine learning domains. For readers wishing for additional theory, numerous references throughout the textbook are provided where deeper and less “hands on” works can be pursued. With its unique breadth of topics covering a wide range of modern quantitative techniques, user-friendliness and quality of expository writing, Multivariate Statistics and Machine Learning will serve as a key and unifying introductory textbook for students in the social, natural, statistical and computational sciences for years to come.  Â

Objev podobné jako Multivariate Statistics and Machine Learning - Daniel J. Denis

This book is a comprehensive guide suitable for beginners and experienced developers alike. It teaches readers how to master object-oriented programming (OOP) with Python and use it in real-world applications.Start by solidifying your OOP foundation with clear explanations of core concepts like use cases and class diagrams. This book goes beyond theory as you get practical examples with well-documented source code available in the book and on GitHub.This book doesn''t stop at the basics. Explore how OOP empowers fields like data persistence, graphical user interfaces (GUIs), machine learning, and data science, including social media analysis. Learn about machine learning algorithms for classification, regression, and unsupervised learning, putting you at the forefront of AI innovation.Each chapter is designed for hands-on learning. You''ll solidify your understanding with case studies, exercises, and projects that apply your newfound knowledge to real-world scenarios. The progressive structure ensures mastery, with each chapter building on the previous one, reinforced by exercises and projects.Numerous code examples and access to the source code enhance your learning experience. This book is your one-stop shop for mastering OOP with Python and venturing into the exciting world of machine learning and data science.

Objev podobné jako The Object-Oriented Approach to Problem Solving and Machine Learning with Python - Maha Hadid, Sujith Samuel Mathew, Shahbano Farooq, Mohammad Amin K

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

This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and emphasizes the real-world applications of these subjects. The chapters give an overview of computer systems and programming languages to establish a basic understanding of the important concepts in computer systems. Readers are introduced to machine learning and artificial intelligence in the field of bioinformatics, connecting these applications to systems biology, biological data analysis and predictions, and healthcare diagnosis and treatment. This book offers a necessary foundation for more advanced computer-based technologies used in biology, employing case studies, real-world issues, and various examples to guide the reader from the basic prerequisites to machine learning and its applications.

Objev podobné jako A Guide to Applied Machine Learning for Biologists

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Objev podobné jako Pattern Recognition and Machine Learning - Christopher M. Bishop

Machine Learning for Kids introduces young readers to the concept of Artificial Intelligence (AI) and the related applications of Machine Learning. Readers learn how to create intelligent games like a rock-paper-scissors game that can learn hand motions and use them to compete against another player; a post sorting game that will recognise the postal code on an envelope and use it to send a letter to the right place. Each project demonstrates a different way that AI is used in the real-world, and readers will be introduced to the biggest issues and challenges that the adoption of AI brings to society.

Objev podobné jako Machine Learning for Kids - Dale Lane

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Objev podobné jako Pattern Recognition and Machine Learning - Christopher M. Bishop

Unlock the potential of AI in your organization with this updated, must-read guide, and discover how to leverage AI to drive innovation, improve efficiency, and gain a competitive edge.This comprehensive guide dives into the latest AI ethics legislation, explore advanced robotics and machine learning, and discover how AI enhances human capabilities. Gain powerful insights into today’s AI applications and learn how emerging trends could reshape industries while addressing critical ethical challenges. Perfect for beginners and strategists alike, this book is your launchpad to crafting a forward-thinking AI strategy that meets modern standards and keeps your organization on the cutting edge of responsible AI. The new edition aligns to the updated BCS Certification in AI Foundation and Essentials, which this book supports as essential reading.

Objev podobné jako Artificial Intelligence and Machine Learning Foundations - Andrew Lowe, Steve Lawless

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as well as recent popular topics such as deep neural networks and Gaussian process regression.

Objev podobné jako Fundamentals of Pattern Recognition and Machine Learning - Ulisses Braga-Neto

This book explores the purpose, role and function of the university and examines the disconnection between studentsÂ’ approaches to learning and university strategy. It centres on the idea that it is vital to explore what counts as a university in the twenty-first century, what it is for, and for whom, as well as how it can transcend social divisions. The universities of the twenty-first century need to have larger audiences, a broader voice, a shift away from othering and an effective means of progressing such shifts. What is central to such exploration is the idea that learning needs to be seen as postdigital. With a focus on how the growth of technology has and continues to affect university learning, this book:explores the concepts of the digital and the postdigitalpromotes just and inclusive pedagogies for higher educationconsiders ways to ensure learning is an ethical and political experiencestudies how to understand community and collective values through higher educationsuggests ways of promoting personal and collective responsibility for our world and its peoplespresents ways in which the university can challenge ideologies based on capitalist modes of consumption, privilege and exploitationDigital and Postdigital Learning for Changing Universities is essential reading for anyone seeking to reimagine ... Unknown localization key: "more"

Objev podobné jako Digital and Postdigital Learning for Changing Universities - Savin-Baden Maggi

Whether they are new or experienced, teachers are expected to plan and deliver high-quality computing lessons to their pupils. Computing and Digital Learning for Primary Teachers provides an accessible introduction to teaching computing effectively and for deeper understanding in the primary classroom.Filled with practical resources to support lesson design, long-term planning, and assessment, readers will benefit from building their subject knowledge and learning to create engaging lessons for their pupils. Chapters explore:Supporting computational thinking and problem-solving to teach our pupils how to solve problems logically and systematically.Developing pupils’ digital literacy and use of IT, creating exciting opportunities for children’s digital self-expression through film, animation, and 3D design.Managing technology in our schools, such as setting up and maintaining a virtual learning environment (VLE).Cross-curriculum links with STEAM and engineering, allowing children to solve real-world problems by combining their digital literacy with their knowledge of maths, science, and technology.Cost-effective and accessible ways of introducing physical computing and robotics to children.Safe and responsible uses of artificial intelligence (AI) in our primary schools.This essential resource provides a highly practical guide to delivering effective computing lessons in the primary classroom and is a must read for anyone who wishes to become a more confident and knowledgeable ... Unknown localization key: "more"

Objev podobné jako Computing and Digital Learning for Primary Teachers - Owen Dobbing

By moving away from flawed statistical methodologies, you'll move toward an intuitive view of probability as a mathematically rigorous statistical framework that quantifies uncertainty holistically and successfully. This book shows you how.

Objev podobné jako Probabilistic Machine Learning for Finance and Investing - Deepak K. Kanungo

The elimination of the Office of Technology Assessment (OTA) in 1995 came during a storm of budget cutting and partisan conflict. Operationally, it left Congress without an institutional arrangement to bring expert scientific and technological advice into the process of legislative decisionmaking. This deficiency has become increasingly critical, as more and more of the decisions faced by Congress and society require judgments based on highly specialized technical information. Offering perspectives from scholars and scientists with diverse academic backgrounds and extensive experience within the policy process, Science and Technology Advice for Congress breaks from the politics of the OTA and its contentious aftermath. Granger Morgan and Jon Peha begin with an overview of the use of technical information in framing policy issues, crafting legislation, and the overall process of governing. They note how, as nonexperts, legislators must make decisions in the face of scientific uncertainty and competing scientific claims from stakeholders. The contributors continue with a discussion of why OTA was created. They draw lessons from OTA''s demise, and compare the use of science and technological information in Europe with the United States. The second part of the book responds to requests from congressional leaders for practical solutions. Among the options ... Unknown localization key: "more"

Objev podobné jako Science and Technology Advice for Congress - Jon M. Peha, M. Granger Morgan

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a ‘learning by doing’ textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.

Objev podobné jako Geographical Data Science and Spatial Data Analysis - Chris Brunsdon, Lex Comber

This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available.

Objev podobné jako Graph-Powered Analytics and Machine Learning with TigerGraph - Ph.D., Victor Lee, Xinyu Chang, Phuc Kien Nguyen

Comprehensively explains animal learning theories and current best practices in animal training within zoos This accessible, up-to-date book on animal training in a zoo/aquaria context provides a unified approach to zoo animal learning, bringing together the art and science of animal training. Written by experts in academia and working zoos, it incorporates the latest information from the scientific community along with current best practice, demystifying the complexities of training zoo animals. In doing so, it teaches readers how to effectively train animals and to fully understand the consequences of their actions. Zoo Animal Learning and Training starts with an overview of animal learning theory. It describes the main categories of animal learning styles; considers the diverse natural history of zoo animals; reviews the research undertaken which demonstrates ultimate benefits of learning; and highlights the advantages and disadvantages of the different approaches. It also shows how the direct application of learning theory can be integrated into zoo animal management; discusses how other factors might affect development; and investigates situations and activities from which animals learn. It also explores the theoretical basis that determines whether enrichments are successful. Provides an easily accessibly, jargon-free introduction to the subjectExplores different training styles, providing theoretical ... Unknown localization key: "more"

Objev podobné jako Zoo Animal Learning and Training

Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that’s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn’t cover SQL broadly. Instead, you’ll learn the subset of SQL skills that data analysts and data scientists use frequently. You’ll also gain practical advice and direction on ... Unknown localization key: "more"

Objev podobné jako SQL for Data Scientists - Renee M. P. Teate

Prepare for Microsoft Exam 70-778–and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Power BI Desktop Model and visualize data Configure dashboards, reports, and apps in the Power BI Service This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI

Objev podobné jako Exam Ref 70-778 Analyzing and Visualizing Data by Using Microsoft Power BI - Daniil Maslyuk

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

Very Short Introductions: Brilliant, Sharp, InspiringSocial science is the study of human behaviour. It offers the tools to understand and explain people''s choices and actions, and how they live together in communities. With insights from social science, organisations and individuals may be persuaded to change their behaviour, making a difference in addressing societal challenges, from climate change to fighting pandemics and alleviating poverty. Social science can offer us the answers to key questions, such as why do some people gamble, eat unhealthy foods, or hold racist beliefs? How do families allocate household tasks, raise children effectively, or manage grief? How do companies weigh profit against environment sustainability, decide to invest in innovation, or adopt policies to address unequal pay between women and men? Why do countries sign international treaties, commit human rights atrocities, or transition from authoritarianism to democracy? Taking an interdisciplinary approach, this Very Short Introduction offers an accessible overview of social science, explaining how methods and theory from different disciplines can be applied and combined to address major global challenges. It aims to equip students, scholars, and practitioners to analyse, interpret, and undertake social science research. Drawing upon inspiring examples, it shows how social scientists can have real-world ... Unknown localization key: "more"

Objev podobné jako Social Science - Alexander Betts

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

This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data science and analytics as well as statistical analysis in general. On the one hand, the book is intended to be a refresher for readers who have taken some courses in statistics, but who have not necessarily used it in their day-to-day work. On the other hand, the material can be suitable for readers interested in the subject as a first encounter with statistical work in Python. Statistics and Data Visualisation with Python aims to build statistical knowledge from the ground up by enabling the reader to understand the ideas behind inferential statistics and begin to formulate hypotheses that form the foundations for the applications and algorithms in statistical analysis, business analytics, machine learning, and applied machine learning. This book begins with the basics of programming in Python and data analysis, to help construct a solid basis in statistical methods and hypothesis testing, which are useful in many modern applications.

Objev podobné jako Statistics and Data Visualisation with Python - Jesus Rogel-Salazar

Capture evidence of your students’ progress in one place with our Exploring Science International Workbooks. These workbooks are designed to be used in class as an accompaniment to the 11–14 Exploring Science International Student Books. They offer plenty of structured space for students to record their answers, plus additional activities to consolidate and stretch learning. For use alongside our Exploring Science International Student Books. Learn more about the series at www.pearsonschools.co.uk/ExploringScienceInternational.

Objev podobné jako Exploring Science International Year 8 Workbook

Capture evidence of your students’ progress in one place with our Exploring Science International Workbooks. These workbooks are designed to be used in class as an accompaniment to the 11–14 Exploring Science International Student Books. They offer plenty of structured space for students to record their answers, plus additional activities to consolidate and stretch learning. For use alongside our Exploring Science International Student Books. Learn more about the series at www.pearsonschools.co.uk/ExploringScienceInternational.

Objev podobné jako Exploring Science International Year 7 Workbook

Capture evidence of your students’ progress in one place with our Exploring Science International Workbooks. These workbooks are designed to be used in class as an accompaniment to the 11–14 Exploring Science International Student Books. They offer plenty of structured space for students to record their answers, plus additional activities to consolidate and stretch learning. For use alongside our Exploring Science International Student Books. Learn more about the series at www.pearsonschools.co.uk/ExploringScienceInternational.

Objev podobné jako Exploring Science International Year 9 Workbook. - Penny Johnson

A reader-friendly introduction to the exciting world of statistics for the analysts, business leaders and policymakers of tomorrow. "Barrow and Shabab''s Statistics for Economics, Accounting and Business Studies textbook has an excellent mix of application, intuition and statistical theory that is suitable for students with and without prior knowledge in statistics." Dr Robert Riegler, Senior Lecturer in Economics, Aston University Statistics for Economics, Accounting, and Business Studies,8th edition by Michael Barrow and C. Rashaad Shabab, is a user-friendly introduction to the subject, aimed at students studying economics, accountancy, finance, and business. This comprehensive text applies a wide variety of statistical tools and techniques to real-world situations, with numerous examples and exercises integrated throughout to help you build up your knowledge and skills. Easy to follow and without requiring any prior knowledge of Statistics, this book will guide you through the essential principles of the field and provide a thorough analysis of statistical concepts and methods. Key features in this new edition include: A new chapter on Data Visualisation, reflecting the growing importance of this topic Application of statistics to issues of contemporary interest, such as the impact of global events like Covid-19, development economics, tourism, education and working hours A ... Unknown localization key: "more"

Objev podobné jako Statistics for Economics, Accounting and Business Studies - C. Rashaad Shabab, Michael Barrow

This practical book bridges the gap between data science and software engineering, clearly explaining how to apply the best practices from software engineering to data science.

Objev podobné jako Software Engineering for Data Scientists - Catherine Nelson

Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This practical book shows data science and AI professionals how to perform the reinforcement process that allows a machine to learn by itself.

Objev podobné jako Reinforcement Learning - Phil Winder Ph.D.

Eager to learn AI and machine learning but unsure where to start? Laurence Moroney's hands-on, code-first guide demystifies complex AI concepts without relying on advanced mathematics. Designed for programmers, it focuses on practical applications using PyTorch, helping you build real-world models without feeling overwhelmed.

Objev podobné jako AI and ML for Coders in Pytorch - Laurence Moroney

Stochastic Modelling of Big Data in Finance provides a rigorous overview and exploration of stochastic modelling of big data in finance (BDF). The book describes various stochastic models, including multivariate models, to deal with big data in finance. This includes data in high-frequency and algorithmic trading, specifically in limit order books (LOB), and shows how those models can be applied to different datasets to describe the dynamics of LOB, and to figure out which model is the best with respect to a specific data set. The results of the book may be used to also solve acquisition, liquidation and market making problems, and other optimization problems in finance.FeaturesSelf-contained book suitable for graduate students and post-doctoral fellows in financial mathematics and data science, as well as for practitioners working in the financial industry who deal with big dataAll results are presented visually to aid in understanding of conceptsDr. Anatoliy Swishchuk is a Professor in Mathematical Finance at the Department of Mathematics and Statistics, University of Calgary, Calgary, AB, Canada. He got his B.Sc. and M.Sc. degrees from Kyiv State University, Kyiv, Ukraine. He earned two doctorate degrees in Mathematics and Physics (PhD and DSc) from the prestigious National Academy of Sciences ... Unknown localization key: "more"

Objev podobné jako Stochastic Modelling of Big Data in Finance - Anatoliy Swishchuk

Build your very own model beautiful oak tree with 15 press-out play animals, while learning about the crucial role trees play on our planet!This gorgeous interactive guide to trees is a delight for nature lovers and budding conservationists who enjoy model crafting and imaginative play.Just press out the pieces and follow easy-to-follow instructions to build a 30-cm slot-together model of an oak tree, beautifully illustrated to show the tree in every season. No glue or scissors needed!Over 15 buildable models add to the fun, including a deer, a fox, a wild boar, rabbits, an owl, a crow, robins and more to bring to life and recreate the tree’s ecosystem.The kit also features an intricately illustrated 32-page book, which explores every aspect of what makes trees unique, from the forest floor to up high in the canopy and all the biology and living things in between. Discover the wide variety of different forest from around the world, how trees provide a home to a wide range of creatures, tree biology, conservation and the incredible fungal networks that let trees communicate.Written by Philippa Forrester, who''s broadcasting career spans three decades of British primetime TV including Robot Wars and Tomorrow''s World. With her ... Unknown localization key: "more"

Objev podobné jako Make and Play: Build A Tree - Forrester Philippa

Fans of Chris Ferrie''s Quantum Physics for Babies, ABCs of Science, and Organic Chemistry for Babies will love this introduction to evolutionary biology for babies and toddlers!Help your future genius become the smartest baby in the room! It only takes a small spark to ignite a child''s mind.Written by an expert, Evolution for Babies is a colorfully simple introduction to evolutionary biology. Babies (and grownups!) will learn how organisms mutate, evolve, and survive. Co-written by Cara Florance, who has a PhD in Biochemistry and a BS in Chemistry with work experience in astrobiololgy and radiation decontamination. With a tongue-in-cheek approach that adults will love, this installment of the Baby University board book series is the perfect way to introduce basic concepts to even the youngest scientists. After all, it''s never too early to become a scientist!If you''re looking for the perfect science baby gifts, science for babies, or evolution for kids, look no further! Evolution for Babies offers fun early learning for your little scientist!

Objev podobné jako Evolution for Babies - Chris Ferrie, Cara Florance

Raise standards and improve learning for all students through equitable gradingGrading–one of the most important responsibilities of teachers with major implications for students’ academic and life trajectories–is ironically also among the most enigmatic and frequently avoided topics in education. Although most teachers sense that common grading practices are often ineffective, there is limited understanding of how those practices can undermine effective teaching and harm students, particularly those historically underserved. It is long past due to implement grading practices that are more accurate, bias-resistant, and motivational, and which improve student learning, empower teachers, and transform classrooms as a result.In this newly updated edition of the best-selling Grading for Equity, Joe Feldman provides a valuable resource for anyone invested in grading and its impact on students’ education, mental health, and future opportunities. Offering a research-based alternative to the status quo, this practitioner-friendly guide provides Extensive revisions that reflect how the pandemic and the Black Lives Matter movement shifted traditional grading systems New data from both academic research and classrooms that demonstrate the benefits of equitable grading for all students Clear approaches to implement equitable grading practices Updated information on several equitable grading practices, including proficiency scales A new concluding chapter that explores ... Unknown localization key: "more"

Objev podobné jako Grading for Equity - Joe Feldman

Will technology change what it means to be human?You don''t have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we''re headed. Even now, technological innovations and machine learning have a daily impact on our lives, and many of us see good reasons to dread the future. Are we doomed to the surveillance society imagined in George Orwell''s 1984?Mathematician and philosopher John Lennox believes that there are credible responses to the daunting questions that AI poses, and he shows that Christianity has some very serious, sensible, evidence-based things to say about the nature of our quest for superintelligence.This newly updated and expanded edition of 2084 will introduce you to a kaleidoscope of ideas:Key recent developments in technological enhancement, bioengineering, and, in particular, artificial intelligence.Consideration of the nature of AI systems with insights from neuroscience.The way AI is changing how we communicate, implications for medicine, manufacturing and the military, its use in advertising and automobiles, and education and the future of work.How data is used today for surveillance, thought control.The rise of virtual reality and the metaverse.The transhumanist agenda and longtermism.The agreements and disagreements that scientists and experts have about the future ... Unknown localization key: "more"

Objev podobné jako 2084 and the AI Revolution, Updated and Expanded Edition - John Lennox C.

Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-making and mitigate catastrophic power shortages. The book reviews foundations towards the integration of machine learning and smart power systems before addressing key challenges and issues. The work then explores AI- and ML-informed techniques to rebalancing of supply and demand. Methods discussed include distributed energy resources and prosumer markets, electricity demand prediction, component fault detection, and load balancing. Security solutions are introduced, along with potential solutions to cyberattacks, security data detection and critical loads in power systems. The work closes with a lengthy discussion, informed by case studies, on integrating AI and ML into the modern energy sector.

Objev podobné jako Smart Energy and Electric Power Systems

Clear away the fog surrounding AI in education—and regain your peace of mind Among teachers, there is a cloud of rumors, confusion, and fear surrounding the rise of artificial intelligence. AI and the Future of Education is a timely response to this general state of panic, showing you that AI is a tool to leverage, not a threat to teaching and learning. By understanding what AI is, what it does, and how it can be used to enhance education, you can let go of anxiety and uncertainty, and learn to embrace artificial intelligence. It's true that, along with tremendous opportunities, AI presents some challenges for the field of education. In this book, Priten Shah, a Harvard M.Ed. with a robust background in educational innovation, helps you face these challenges head on, so you can gain the knowledge and skills you need to use AI effectively in your classroom. Thanks to this thorough consideration of ethical considerations and practical approaches, you can develop your own strategy for leveraging AI in administrative tasks, lesson design, professional development, and beyond. Understand what AI and machine learning are, and learn about new developments like ChatGPTDiscover strategies for engaging students more fully using AI Automate ... Unknown localization key: "more"

Objev podobné jako AI and the Future of Education - Priten Shah

World-wide maritime trade has been the essential driver of wealth-creation, economic progress and global human contact. Trade and exchange of ideas have been at the heart of economic, social, political, cultural and religious life and maritime international law. These claims are borne out by the history of maritime trade beginning in the Indian Ocean and connecting to Southeast Asia, Japan, the Americas, East Africa, the Middle East especially the Persian Gulf, the Mediterranean and Europe. This development predates the end of the Ice Age with worldwide flooding and stimulated the establishment of land-based civilizations in the above regions with particular effect on the Greek and Roman empires and even China''s ''Celestial'' empire.The Indian subcontinent was the original major player in maritime trade, linking oceans and regions. Global maritime trade declined with the fall of Mediterranean empires and the ''dark age'' in Europe but revived with Indian Ocean and Asian maritime networks. Shipping and trade studies are hugely practical but can be technical, legalistic and even dull for non-specialists. But this history is a broadly based and exciting account of human interaction at multiple levels, for general readers, specialists and practitioners. It is based on huge reading and rare sources and ... Unknown localization key: "more"

Objev podobné jako How Maritime Trade and the Indian Subcontinent Shaped the World - Nick Collins

This revised and updated textbook applies a critical and practical lens to the world of social media analytics. Author Jeremy Harris Lipschultz explores the foundations of digital data, strategic tools, and best practices in an accessible volume for students and practitioners of social media communication.This second edition expands upon entrepreneurship, marketing, and technological principles, demonstrating how raising awareness, sparking engagement, and producing business outcomes all require emphasis on customers, employees, and other stakeholders within paid, earned, social, and owned media. It also looks to the future, examining how the movement toward artificial intelligence and machine learning raises new legal and ethical issues in effective management of social media data. Additionally, the book offers a solid grounding in the principles of social media measurement itself, teaching the strategies and techniques that enable effective analysis. It features theoretical and practical advice, a comprehensive glossary of key terms, and case studies from academic and industry thought leaders.A perfect primer for this developing industry, this book is ideal for students, scholars, and practitioners of digital media seeking to hone their skills and expand their bank of new tools and resources.

Objev podobné jako Social Media Measurement and Management - Jeremy Harris Lipschultz

Operational AuditingOperational Auditing: Principles and Techniques for a Changing World, 2nd edition, explains the proven approaches and essential procedures to perform risk-based operational audits. It shows how to effectively evaluate the relevant dynamics associated with programs and processes, including operational, strategic, technological, financial and compliance objectives and risks. This book merges traditional internal audit concepts and practices with contemporary quality control methodologies, tips, tools and techniques. It explains how internal auditors can perform operational audits that result in meaningful findings and useful recommendations to help organizations meet objectives and improve the perception of internal auditors as high-value contributors, appropriate change agents and trusted advisors. The 2nd edition introduces or expands the previous coverage of: • Control self-assessments. • The 7 Es framework for operational quality. • Linkages to ISO 9000. • Flowcharting techniques and value-stream analysis • Continuous monitoring. • The use of Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs). • Robotic process automation (RPA), artificial intelligence (AI) and machine learning (ML); and • Adds a new chapter that will examine the role of organizational structure and its impact on effective communications, task allocation, coordination, and operational resiliency to more effectively respond to market demands.Auditor EssentialsInternal auditors must ... Unknown localization key: "more"

Objev podobné jako The Change Agent, Auditor Essentials, and Operational Auditing Three-Book Set - Hernan Murdock