Graphical Models for Machine Learning and Digital Communication

Practising rhymes and action songs has a huge impact on children’s growth and learning, from their cognitive and communication skills, to social development and emotional wellbeing. There’s no better

From New York Times bestselling author Cal Newport comes a bold vision for liberating workers from the tyranny of the inbox--and unleashing a new era of productivity. Modern knowledge workers communicate constantly. Their days are defined by a relentless barrage of incoming messages and back-and-forth digital conversations--a state of constant, anxious chatter in which nobody can disconnect, and so nobody has the cognitive bandwidth to perform substantive work. There was a time when tools like email felt cutting edge, but a thorough review of current evidence reveals that the hyperactive hive mind workflow they helped create has become a productivity disaster, reducing profitability and perhaps even slowing overall economic growth. Equally worrisome, it makes us miserable. Humans are simply not wired for constant digital communication. We have become so used to an inbox-driven workday that it's hard to imagine alternatives. But they do exist. Drawing on years of investigative reporting

Grab your camera and learn everything you need to know to improve your photography in just 20 weeks. The perfect one-on-one learning programme for any aspiring photographer, Digital Photography Comp

The fifth edition of this popular textbook continues to provide a solid foundation of pharmacological knowledge for all those working in anaesthesia and intensive care. The content has been thoroughly revised to include expanded chapters with clearer figures, ensuring readers are kept abreast of the ever-changing landscape of clinical pharmacology. Conveniently divided into four sections covering the basic principles of pharmacology, core drugs in anaesthetic practice, cardiovascular drugs, and other important drugs and complemented by new diagrams, tables and chemical formulae to facilitate learning. All four chapters on core drugs in anaesthetic practice have been updated along with others exploring applied pharmacokinetic models, antimicrobials, and drugs used in diabetes. An ideal aid to study and practice for junior and trainee anaesthetists and intensive care specialists preparing for exams. Also an invaluable resource for theatre practitioners, ICU nurses and physicians working

The second and expanded edition of a comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.This textbook offers a comprehensive and self-co

Biologists rely on theories, apply models and construct explanations, but rarely reflect on their nature and structure. This book introduces key topics in philosophy of science to provide the required philosophical background for this kind of reflection, which is an important part of all aspects of research and communication in biology. It concisely and accessibly addresses fundamental questions such as: Why should biologists care about philosophy of science? How do concepts contribute to scientific advancement? What is the nature of scientific controversies in the biological sciences? Chapters draw on contemporary examples and case studies from across biology, making the discussion relevant and insightful. Written for researchers and advanced undergraduate and graduate students across the life sciences, its aim is to encourage readers to become more philosophically minded and informed to enable better scientific practice. It is also an interesting and pertinent read for philosophers o

Biologists rely on theories, apply models and construct explanations, but rarely reflect on their nature and structure. This book introduces key topics in philosophy of science to provide the required philosophical background for this kind of reflection, which is an important part of all aspects of research and communication in biology. It concisely and accessibly addresses fundamental questions such as: Why should biologists care about philosophy of science? How do concepts contribute to scientific advancement? What is the nature of scientific controversies in the biological sciences? Chapters draw on contemporary examples and case studies from across biology, making the discussion relevant and insightful. Written for researchers and advanced undergraduate and graduate students across the life sciences, its aim is to encourage readers to become more philosophically minded and informed to enable better scientific practice. It is also an interesting and pertinent read for philosophers o

Surrogates: a graduate textbook, or professional handbook, on topics at the interface between machine learning, spatial statistics, computer simulation, meta-modeling (i.e., emulation), design of expe

Lens on China: Intermediate and Advanced Readings on Film for Learning Chinese is an innovative textbook that uses film to teach Mandarin Chinese. It not only provides students with a non-traditional way to learn Chinese by combining visual and textual materials, but also creates real, sociocultural and linguistic situations where students can use their acquired skills. Each lesson of the textbook focuses on one film in a highly engaging and effective way of learning. Each lesson comes with a comprehensive vocabulary list, detailed grammar explanations, and exercises in various forms. Such a design ensures a balance between basic language training in vocabulary and grammatical structure, and more advanced goals in interactive communication and in-depth reflection. Ten films are chosen to help the student achieve sociocultural knowledge that will deepen their understanding of contemporary China. Half of the films selected are light-hearted works on youth, love, and aspirations, with d

This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overv

This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overv

Responding to the developments of the past twenty years, Les Kirkup has thoroughly updated his popular book on experimental methods, while retaining the extensive coverage and practical advice from the first edition. Many topics from that edition remain, including keeping a record of work, how to deal with measurement uncertainties, understanding the statistical basis of data analysis and reporting the results of experiments. However, with new technologies influencing how experiments are devised, carried out, analyzed, presented and reported, this new edition reflects the digital changes which have taken place and the increased emphasis on the importance of communication skills in reporting results. Bringing together key elements of experimental methods into one coherent book, it is perfect for students seeking guidance with their experimental work, including how to acquire, analyse and present data. Exercises, worked examples and end-of-chapter problems are provided throughout the boo

Python is today's fastest growing programming language. This engaging and refreshingly different guide breaks down the skills into clear step-by-step chunks and explains the theory using brief easy-to-understand language. Rather than bamboozling readers with pages of mind-numbing technical jargon, this book includes 150 practical challenges, putting the power in the reader's hands. Through creating programs to solve these challenges the reader will quickly progress from mastering the basics to confidently using subroutines, a graphical user interface, and linking to external text, csv and SQL files. This book is perfect for anyone who wants to learn how to program with Python. In particular, students starting out in computer science and teachers who want to improve their confidence in Python will find here a set of ready-made challenges for classroom use.

The increased and widespread availability of large network data resources in recent years has resulted in a growing need for effective methods for their analysis. The challenge is to detect patterns that provide a better understanding of the data. However, this is not a straightforward task because of the size of the data sets and the computer power required for the analysis. The solution is to devise methods for approximately answering the questions posed, and these methods will vary depending on the data sets under scrutiny. This cutting-edge text introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, before discussing the thought processes and creativity involved in the analysis of large-scale biological and medical data sets, using a wide range of real-life examples. Bringing together leading experts, this text provides an ideal introduction to and insight into the interdisciplinary field of network da

We have grown accustomed to two beliefs: first, that only experts can be designers, and second, that our everyday activities are harming the planet. Yet, by bringing together digital communication and

If you’re a developer familiar with AI, machine learning, and computer vision, this practical book provides you with a foundational understanding of augmented and virtual reality functions. AR a

In preparation for this book, and to better understand our screen-based, digital world, Miller only accessed information online for seven years.On the End of Privacy explores how literacy is transform

Providing guidance and advice on the challenging art of listening, this book responds directly to the expressed learning needs of hospice and palliative care volunteers regarding their communication s

This book will provide an introduction to machine learning, fuzzy systems and evolutionary algorithms for senior undergraduate students at universities and colleges as well as for practitioners. The t

Communicating for Success, 2nd edition, focuses student learning on the key communication competencies recommended by the National Communication Association. With a vibrant and engaging design, this i

Communicating for Success, 2nd edition, focuses student learning on the key communication competencies recommended by the National Communication Association. With a vibrant and engaging design, this i

Create applications using Industry 4.0. Discover how artificial intelligence (AI) and machine learning (ML) capabilities can be enhanced using the Internet of things (IoT) and secured using Blockchain

Designing Effective Digital Badges is a guide to digital badge design principles that examines the advantages and challenges of implementing and assessing this emerging credentialing system. The book

Discover the nonlinear methods and tools needed to design real-world microwave circuits with this tutorial guide. Balancing theoretical background with practical tools and applications, it covers everything from the basic properties of nonlinear systems such as gain compression, intermodulation and harmonic distortion, to nonlinear circuit analysis and simulation algorithms, and state-of-the-art equivalent circuit and behavioral modeling techniques. Model formulations discussed in detail include time-domain transistor compact models and frequency-domain linear and nonlinear scattering models. Learn how to apply these tools to designing real circuits with the help of a power amplifier design example, which covers all stages from active device model extraction and the selection of bias and terminations, through to performance verification. Realistic examples, illustrative insights and clearly conveyed mathematical formalism make this an essential learning aid for both professionals worki

Complementing earlier efforts to scrutinize the uses of models in the field of media and communication studies, this volume reassesses old perspectives and delineates new theoretical options for commu

Become a machine learning pro! Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep. Luc

Predictive Analytics has revolutionised marketing practice. It involves using many techniques from data mining, statistics, modelling, machine learning and artificial intelligence, to analyse current

This work builds on the assumption that language learning and teaching needs to be made more relevant to the 'glocalised' digital world we live in. Its authors argue that staff in Higher Education (HE