Graphical Models for Machine Learning and Digital Communication

This book aims to capture the current innovation and emerging trends of digital technologies for learning and education in k-12 sector through a number of invited chapters in key research areas. Emerg

Oxford iTools are digital resources to meet your English language teaching and learning needs. Specifically designed for use on interactive whiteboards, Oxford iTools can also be used with data projec

Oxford iTools are digital resources to meet your English language teaching and learning needs. Specifically designed for use on interactive whiteboards, Oxford iTools can also be used with data projec

Oxford iTools are digital resources to meet your English language teaching and learning needs. Specifically designed for use on interactive whiteboards, Oxford iTools can also be used with data projec

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendice

With a clear articulation of the gospel alongside practical examples from ten women, this book supplies role models for learning how to faithfully and effectively share the gospel in any context.

This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of placing current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm.This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights

This book presents a contemporary focus on significant issues in STEM teaching, learning and research that are valuable in preparing students for a digital 21st century. The book chapters cover a wide

Optimize your outcomes. With McConnell/Brue/Flynn, improving outcomes has never been simpler. If given the chance to work harder or smarter, which would you choose? This product’s modern approach makes learning and applying economics easier for instructors and students alike. From real-life examples to cutting-edge digital learning resources, such as interactive graphs, Adaptive Learning Assignments and much more, McConnell offers a student-centered learning environment that presents the subject matter in new and engaging ways. For instructors, a fully supportive teaching package does the heavy lifting so you can focus on what you love.

An accessible analysis of the new forms of work whose seismic changes will increasingly determine the future of capitalism Automation and the decline in industrial employment have lead to rising fears of a workless future. But what happens when your work itself is the thing that will make your job obsolete? In the past few years, online crowdworking platforms - like Amazon's Mechanical Turk and Clickworker - have become an increasingly important source of work, particularly for those in the Global South. Here, small tasks are assigned to people online, and are often used to train algorithms to spot patterns, patterns through machine learning those same algorithms will then be able to spot more effectively than humans. Used for everything from the mechanics of self-driving cars to Google image search, this is an increasingly powerful part of the digital ecomomy. But what happens to work when it makes itself obsolete. In this stimulating work that blends political economy, studies of con

Microeconomics is a classroom-tested resource for learning the key concepts, essential tools, and applications of microeconomics. This leading textbook enables students to recognize and analyze significant data, patterns, and trends in real markets through its integrated, student-friendly approach to the subject — providing practice problems, hands-on exercises, illustrative examples, and engaging applications that ground theory firmly in the real world. Each chapter, opening with a set of clearly defined learning goals based on the Bloom Taxonomy, features numerous Learning-by-Doing (LBD) problems, mathematical and graphical data, and varied problem sets focused on current events.Now in its sixth edition, the text offers extensive new and revised content throughout. All applications reflect current data and important new developments in the field of economics, including behavioral economics, randomized controlled trials (RCTs) in policy evaluation and design, and computational-based m

There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning.

What is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a brief introduction to representational issues, the author develops a relational language for abstract machine learning problems. He then uses this language to discuss traditional methods such as clustering and decision tree induction, before moving onto two previously underestimated topics that are just coming to the fore: rough set data analysis and inductive logic programming. Its clear and precise presentation is ideal for undergraduate computer science students. The book will also interest those who study artificial intelligence or machine learning at the graduate level. Exercises are provided and each concept is introduced using the same example domain, making it easier to compare the individual pro

What is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a brief introduction to representational issues, the author develops a relational language for abstract machine learning problems. He then uses this language to discuss traditional methods such as clustering and decision tree induction, before moving onto two previously underestimated topics that are just coming to the fore: rough set data analysis and inductive logic programming. Its clear and precise presentation is ideal for undergraduate computer science students. The book will also interest those who study artificial intelligence or machine learning at the graduate level. Exercises are provided and each concept is introduced using the same example domain, making it easier to compare the individual pro

The Psychology of Musical Development provides an up-to-date and comprehensive account of the latest theory, empirical research and applications in the study of musical development, an important and emerging field of music psychology. After considering how people now engage with music in the digital world, and reviewing current advances in developmental and music psychology, Hargreaves and Lamont compare ten major theoretical approaches in this field - including cognitive stage models and neuroscientific, ecological and social cognitive approaches - and assess how successfully each of these deals with five critical theoretical issues. Individual chapters deal next with cognition, perception and learning; social development; environmental influences on ability, achievement and motivation; identity, personality and lifestyle; affect and emotion; and well-being and health. With an emphasis on practical applications throughout, this book will be essential reading for students and scholars

The Psychology of Musical Development provides an up-to-date and comprehensive account of the latest theory, empirical research and applications in the study of musical development, an important and emerging field of music psychology. After considering how people now engage with music in the digital world, and reviewing current advances in developmental and music psychology, Hargreaves and Lamont compare ten major theoretical approaches in this field - including cognitive stage models and neuroscientific, ecological and social cognitive approaches - and assess how successfully each of these deals with five critical theoretical issues. Individual chapters deal next with cognition, perception and learning; social development; environmental influences on ability, achievement and motivation; identity, personality and lifestyle; affect and emotion; and well-being and health. With an emphasis on practical applications throughout, this book will be essential reading for students and scholars

The primary focus of this Element is to understand the rise of smart 'social' infrastructures in BoP emerging markets like India. It has been observed that new focus areas and frontiers of global economy are taking shape where social and environmental outcomes along with economic performance are considered to be collective parameters for success or failure of the businesses. This has led to the emergence of new models of entrepreneurship, namely for-profit social businesses. These new models are driven by problem-solving social innovators who are driven by the social and environmental mission besides economic gains. Sustainability and overall success of social businesses is driven by smart social infrastructure, comprising availability of incubation ecosystem for social start-ups, access to patient capital, availability of digital ecosystem, adoption of circular business models, and focus on collaborations, partnerships and networking with diverse stakeholders.

This textbook aims to provide students with a stimulating alternative to the textbooks currently available by placing the discipline within the context of the social world and encouraging them to question some of the assumptions and values underlying much current research. A comprehensive survey of the discipline is provided, framed within a lifespan approach, and emphasising social-cultural factors such as gender, ethnicity and social-economic status. All major topics are covered, including health behaviours, health promotion, coping strategies, stress, biomedical and biopsychosocial models of health and illness, chronic illnesses, psychoneuroimmunology, disability, pain, and patient-provider communication. Each topic is situated within its social and cultural context and constantly linked back to real-world experience. Chapters include valuable features such as research updates, learning objectives and recommended readings. This book will be an invaluable resource for students of hea

DescriptionOptimise Stars, the new edition of Optimise, combines the hugely popular methodology of the original Optimise series with new content that is genuinely relevant to teenagers. It teaches students essential exam skills and techniques to optimise their exam performance and ensure no surprises on the day. It gives teachers comprehensive exam-prep guidance and offers additional wellbeing support for both students and teachers.Key FeaturesNew Optimise your wellbeing sections show students how to stay calm under pressure and help them perform to the best of their ability in end-of-year exams.New video content, gamified digital activities and teen-relevant texts bring learning to life and keep teenage students engaged in every lesson.The 12-page Optimise Your Exams section at the back of the Student’s Book brings together exam strategies for each key skill, plus advice on how to perform well on the day.New communication activities put a strong focus on speaking and encourage learn

DescriptionOptimise Stars, the new edition of Optimise, combines the hugely popular methodology of the original Optimise series with new content that is genuinely relevant to teenagers. It teaches students essential exam skills and techniques to optimise their exam performance and ensure no surprises on the day. It gives teachers comprehensive exam-prep guidance and offers additional wellbeing support for both students and teachers.Key FeaturesNew Optimise your wellbeing sections show students how to stay calm under pressure and help them perform to the best of their ability in end-of-year exams.New video content, gamified digital activities and teen-relevant texts bring learning to life and keep teenage students engaged in every lesson.The 12-page Optimise Your Exams section at the back of the Student’s Book brings together exam strategies for each key skill, plus advice on how to perform well on the day.New communication activities put a strong focus on speaking and encourage learn

DescriptionOptimise Stars, the new edition of Optimise, combines the hugely popular methodology of the original Optimise series with new content that is genuinely relevant to teenagers. It teaches students essential exam skills and techniques to optimise their exam performance and ensure no surprises on the day. It gives teachers comprehensive exam-prep guidance and offers additional wellbeing support for both students and teachers.Key FeaturesNew Optimise your wellbeing sections show students how to stay calm under pressure and help them perform to the best of their ability in end-of-year exams.New video content, gamified digital activities and teen-relevant texts bring learning to life and keep teenage students engaged in every lesson.The 12-page Optimise Your Exams section at the back of the Student’s Book brings together exam strategies for each key skill, plus advice on how to perform well on the day.New communication activities put a strong focus on speaking and encourage learn

DescriptionOptimise Stars, the new edition of Optimise, combines the hugely popular methodology of the original Optimise series with new content that is genuinely relevant to teenagers. It teaches students essential exam skills and techniques to optimise their exam performance and ensure no surprises on the day. It gives teachers comprehensive exam-prep guidance and offers additional wellbeing support for both students and teachers.Key FeaturesNew Optimise your wellbeing sections show students how to stay calm under pressure and help them perform to the best of their ability in end-of-year exams.New video content, gamified digital activities and teen-relevant texts bring learning to life and keep teenage students engaged in every lesson.The 12-page Optimise Your Exams section at the back of the Student’s Book brings together exam strategies for each key skill, plus advice on how to perform well on the day.New communication activities put a strong focus on speaking and encourage learn

How the Amish have adopted certain digital tools in ways that allow them to work and live according to their own value system.The Amish are famous for their disconnection from the modern world and all its devices. But, as Lindsay Ems shows in Virtually Amish, Old Order Amish today are selectively engaging with digital technology. The Amish need digital tools to participate in the economy―websites for ecommerce, for example, cell phones for communication on the road―but they have developed strategies for making limited use of these tools while still living and working according to the values of their community. The way they do this, Ems suggests, holds lessons for all of us about resisting the negative forces of what has been called “high-tech capitalism.” Ems shows how the Amish do not allow technology to drive their behavior; instead, they actively configure their sociotechnical world to align with their values and protect their community’s autonomy. Drawing on extensive ethnographi

How can we make sure that our kids are learning to be creative thinkers in a world of global competition--and what does that mean for the future of education in the digital age? David Williamson Shaf

Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the statistical structure of the arrival streams of packets at routers in the Internet. How can routing, flow control and connection acceptance algorithms be designed to work well in uncertain and random environments? This compact introduction illustrates how stochastic models can be used to shed light on important issues in the design and control of communication networks. It will appeal to readers with a mathematical background wishing to understand this important area of application, and to those with an engineering background who want to grasp the underlying mathematical theory. Each chapter ends with exercises and suggestions for further reading.

Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the statistical structure of the arrival streams of packets at routers in the Internet. How can routing, flow control and connection acceptance algorithms be designed to work well in uncertain and random environments? This compact introduction illustrates how stochastic models can be used to shed light on important issues in the design and control of communication networks. It will appeal to readers with a mathematical background wishing to understand this important area of application, and to those with an engineering background who want to grasp the underlying mathematical theory. Each chapter ends with exercises and suggestions for further reading.

Talk Like a Pro: Making a Winning Presentation is designed to supplement any textbook on Business Communication. This material set can also be a textbook for a one-or-two-unit standalone presentation course. The Guidebook, together with abundant end-of-chapter exercises and activities, aims to help learners in Asia or countries where English is a second or foreign language prepare them for a professional presentation. It is equally valuable for working professionals who need practical advice on preparing for business presentations.In designing this material set, the author meticulously decomposes award-winning presentation videos into ten-chapter learning units. The author firmly believes that learning can be maximized and be most effective when the learning can be achieved by observing and imitating good examples and when the learning tasks and materials are customized to meet learners’ specific needs and backgrounds. Through the observational learning approach, students and professio

In this innovative new publishing program, LEGO models and minifigures are illustrated in fun and fantastic scenarios throughout as the first point of engagement for kids with real-world topics. This program represents a marriage of core values between LEGO and Scholastic: imagination, creativity, fun, and learning, as well as providing the most engaging, educational information for children.

This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. Research on pattern classification with binary-output networks is surveyed, including a discussion of the relevance of the Vapnik–Chervonenkis dimension, and calculating estimates of the dimension for several neural network models. A model of classification by real-output networks is developed, and the usefulness of classification with a 'large margin' is demonstrated. The authors explain the role of scale-sensitive versions of the Vapnik–Chervonenkis dimension in large margin classification, and in real prediction. They also discuss the computational complexity of neural network learning, describing a variety of hardness results, and outlining two efficient constructive learning algorithms. The book is self-contained and is intended to be accessible to researchers and gradua

This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. Research on pattern classification with binary-output networks is surveyed, including a discussion of the relevance of the Vapnik–Chervonenkis dimension, and calculating estimates of the dimension for several neural network models. A model of classification by real-output networks is developed, and the usefulness of classification with a 'large margin' is demonstrated. The authors explain the role of scale-sensitive versions of the Vapnik–Chervonenkis dimension in large margin classification, and in real prediction. They also discuss the computational complexity of neural network learning, describing a variety of hardness results, and outlining two efficient constructive learning algorithms. The book is self-contained and is intended to be accessible to researchers and gradua

Tackling structural geology problems today requires a quantitative understanding of the underlying physical principles, and the ability to apply mathematical models to deformation processes within the Earth. Accessible yet rigorous, this unique textbook demonstrates how to approach structural geology quantitatively using calculus and mechanics, and prepares students to interface with professional geophysicists and engineers who appreciate and utilize the same tools and computational methods to solve multidisciplinary problems. Clearly explained methods are used throughout the book to quantify field data, set up mathematical models for the formation of structures, and compare model results to field observations. An extensive online package of coordinated laboratory exercises enables students to consolidate their learning and put it into practice by analyzing structural data and building insightful models. Designed for single-semester undergraduate courses, this pioneering text prepares

Packed full of real circuits to build and test, Hands-On Electronics is a unique introduction to analog and digital electronics theory and practice. Ideal both as a college textbook and for self-study, the friendly style, clear illustrations and construction details included in the book encourage rapid and effective learning of analog and digital circuit design theory. All the major topics for a typical one semester course are covered including RC circuits, diodes, transistors, op-amps, oscillators, TTL logic, counters, D/A converters and more. There are also chapters explaining how to use the equipment needed for the examples (oscilloscope, multimeter and breadboard) together with pin-out diagrams and manufacturers' specifications for all the key components referred to in the book.

Groundwater mechanics is the study of fluid flow in porous media. Focusing on applications and case studies, this book explains the basic principles of groundwater flow using mathematical expressions to describe a wide range of different aquifer configurations. Emphasis is placed throughout on the importance of developing simplified models that can be solved analytically to provide insight into complex groundwater flow scenarios and to allow better interpretation of the full numerical solution. Focusing first on identifying the important features of a problem, the book explains how to translate practical questions into mathematical form and discusses the interpretation of the results. Illustrated with numerous real-world examples and graphical results, this is an ideal textbook for advanced undergraduate and graduate Earth science, geological engineering, and environmental engineering courses, as well as a useful reference for researchers and professionals.

The beloved author of The Revenge of Analog lays out a case for a human future--not the false technological utopia we've been living.For years, consumers have been promised a simple, carefree digital future. We could live, work, learn, and play from the comforts of our homes, and have whatever we desire brought to our door with the flick of a finger. Instant communication would bring us together. Technological convenience would give us more time to focus on what really mattered.When the pandemic hit, that future transformed into the present, almost overnight. And the reviews aren't great. It turns out that leaving the house is underrated, instant communication spreads anger better than joy, and convenience takes away time rather than giving it to us. Oops.But as David Sax argues in this insightful book, we've also had our eyes opened. There is nothing about the future that has to be digital, and embracing the reality of human experience doesn't mean resisting change. In chapters explor

The foundations of parallel computation, especially the efficiency of computation, are the concern of this book. Distinguished international researchers have contributed fifteen chapters which together form a coherent stream taking the reader who has little prior knowledge of the field to a position of being familiar with leading edge issues. The book may also function as a source of teaching material and reference for researchers. The first part is devoted to the Parallel Random Access Machine (P-RAM) model of parallel computation. The initial chapters justify and define the model, which is then used for the development of algorithm design in a variety of application areas such as deterministic algorithms, randomisation and algorithm resilience. The second part deals with distributed memory models of computation. The question of efficiently implementing P-RAM algorithms within these models is addressed as are the immensely interesting prospects for general purpose parallel computation

This comprehensive treatment of network information theory and its applications provides the first unified coverage of both classical and recent results. With an approach that balances the introduction of new models and new coding techniques, readers are guided through Shannon's point-to-point information theory, single-hop networks, multihop networks, and extensions to distributed computing, secrecy, wireless communication, and networking. Elementary mathematical tools and techniques are used throughout, requiring only basic knowledge of probability, whilst unified proofs of coding theorems are based on a few simple lemmas, making the text accessible to newcomers. Key topics covered include successive cancellation and superposition coding, MIMO wireless communication, network coding, and cooperative relaying. Also covered are feedback and interactive communication, capacity approximations and scaling laws, and asynchronous and random access channels. This book is ideal for use in the

This comprehensive treatment of network information theory and its applications provides the first unified coverage of both classical and recent results. With an approach that balances the introduction of new models and new coding techniques, readers are guided through Shannon's point-to-point information theory, single-hop networks, multihop networks, and extensions to distributed computing, secrecy, wireless communication, and networking. Elementary mathematical tools and techniques are used throughout, requiring only basic knowledge of probability, whilst unified proofs of coding theorems are based on a few simple lemmas, making the text accessible to newcomers. Key topics covered include successive cancellation and superposition coding, MIMO wireless communication, network coding, and cooperative relaying. Also covered are feedback and interactive communication, capacity approximations and scaling laws, and asynchronous and random access channels. This book is ideal for use in the

Written for advanced undergraduate and graduate students, this is the first textbook on international relations theory to take a specifically game-theoretic approach to the subject, and provide the material needed for students to understand the subject thoroughly, from its basic foundations to more complex models. International relations theory is presented and analysed using simple games, which allow students to grasp the concepts and mechanisms involved with the rationalist approach without the distraction of complicated mathematics. Chapter exercises reinforce key concepts and guide students to extend the models discussed. Drawing examples from international security, international political economy, and environmental negotiations, this introductory textbook examines a broad array of topics in international relations courses, including state preferences, normal form games, bargaining, uncertainty and communication, multilateral cooperation, and the impact of domestic politics.

Written for advanced undergraduate and graduate students, this is the first textbook on international relations theory to take a specifically game-theoretic approach to the subject, and provide the material needed for students to understand the subject thoroughly, from its basic foundations to more complex models. International relations theory is presented and analysed using simple games, which allow students to grasp the concepts and mechanisms involved with the rationalist approach without the distraction of complicated mathematics. Chapter exercises reinforce key concepts and guide students to extend the models discussed. Drawing examples from international security, international political economy, and environmental negotiations, this introductory textbook examines a broad array of topics in international relations courses, including state preferences, normal form games, bargaining, uncertainty and communication, multilateral cooperation, and the impact of domestic politics.

Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field In the newly revised Second Edition of Quantitative Trading: How to Build Your Own Algorithmic Trading Business, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm.You'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques, as well as: Updated back tests on a variety of trading strategies, with included Python and R code examplesA new technique on optimizing parameters with changing market regimes using machine learning. A guide to selecting the best traders and advisors to manage your money Perfect for independent retail traders seeking to start their own quantitative trading business, or investors looking to invest in such traders, this new edition of Quantitative Trading will also earn a