Machine learning using R

Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Written by leading experts in a clear, tutorial style, and using consistent notation and definitions throughout, it shows how information-theoretic methods are being used in data acquisition, data representation, data analysis, and statistics and machine learning. Coverage is broad, with chapters on signal acquisition, data compression, compressive sensing, data communication, representation learning, emerging topics in statistics, and much more. Each chapter includes a topic overview, definition of the key problems, emerging and open problems, and an extensive reference list, allowing readers to develop in-depth knowledge and understanding. Providing a thorough survey of the current research area and cutting-edge trends, this is essential reading for graduate students and researchers working in information theory, signal processing, machine le

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, an

With this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people. Using a highly innovative approach that employs existing wireless equipment and signal processing techniques to turn multipaths into virtual antennas, combined with the physical principle of time reversal and machine learning, it covers fundamental theory, extensive experimental results, and real practical use cases developed for products and applications. Topics explored include indoor positioning and tracking, wireless sensing and analytics, wireless power transfer and energy efficiency, 5G and next-generation communications, and the connection of large numbers of heterogeneous IoT devices of various bandwidths and capabilities. Demo videos accompanying the book online enhance understanding of these topics. Providing a unified framework for wireless AI, this is an excellent text for gradu

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

Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes deep learning and machine learning accessible to everyday de

It's nearly impossible to build a competent Go-playing machine using conventional programming techniques, let alone have it win. By applying advanced AI techniques, in particular deep learning and rei

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

This book offers an introduction to modern natural language processing using machine learning, focusing on how neural networks create a machine interpretable representation of the meaning of natural l

Recent startling successes in machine intelligence using a technique called ‘deep learning’ seem to blur the line between human and machine as never before. Are computers on the cusp of be

Recent startling successes in machine intelligence using a technique called ‘deep learning’ seem to blur the line between human and machine as never before. Are computers on the cusp of be

Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.Security has become a "big data" problem. The growth rate of malw

This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search

The Rights Turn in Conservative Christian Politics documents a recent, fundamental change in American politics with the waning of Christian America. Rather than conservatives emphasizing morality and liberals emphasizing rights, both sides now wield rights arguments as potent weapons to win political and legal battles and build grassroots support. Lewis documents this change on the right, focusing primarily on evangelical politics. Using extensive historical and survey data that compares evangelical advocacy and evangelical public opinion, Lewis explains how the prototypical culture war issue - abortion - motivated the conservative rights turn over the past half century, serving as a springboard for rights learning and increased conservative advocacy in other arenas. Challenging the way we think about the culture wars, Lewis documents how rights claims are used to thwart liberal rights claims, as well as to provide protection for evangelicals, whose cultural positions are increasingly

Three-time recipient of the AJN Book of the Year Award!Praise for the third edition:“This is an outstanding edition of this book. It has great relevance for learning about, developing, and using middl

The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing par

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

An Introduction to Machine Learning in Finance, With Mathematical Background, Data Visualization, and R Nonparametric function estimation is an important part of machine learning, which is becoming in

This overview of software testing provides key concepts, case studies, and numerous techniques to ensure software is reliable and secure. Using a self-teaching format, the book covers important topics

The Rights Turn in Conservative Christian Politics documents a recent, fundamental change in American politics with the waning of Christian America. Rather than conservatives emphasizing morality and liberals emphasizing rights, both sides now wield rights arguments as potent weapons to win political and legal battles and build grassroots support. Lewis documents this change on the right, focusing primarily on evangelical politics. Using extensive historical and survey data that compares evangelical advocacy and evangelical public opinion, Lewis explains how the prototypical culture war issue - abortion - motivated the conservative rights turn over the past half century, serving as a springboard for rights learning and increased conservative advocacy in other arenas. Challenging the way we think about the culture wars, Lewis documents how rights claims are used to thwart liberal rights claims, as well as to provide protection for evangelicals, whose cultural positions are increasingly

This is a comprehensive book on technology for classroom and online learning for educators. Everything you need to know about using educational technology such as computer networking, peripherals, sec

This is a comprehensive book on technology for classroom and online learning for educators. Everything you need to know about using educational technology such as computer networking, peripherals, sec

Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation’s Giraph framework for graph processing. This is the same framewo

This book presents a variety of approaches and applications for using data mining and machine learning techniques in the context of event mining. It offers an introductory overview on recent developme

This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series co

Gehart's book helps readers gain the skills and knowledge outlined in current CACREP Standards. It introduces counseling and psychotherapy theories using theory-informed case conceptualization as well

For both students and engineers in R&D, this book explains machine vision in a concise, hands-on way, using the Vision Development Module of the LabView software by National Instruments.Follow

The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification algorithms. The authors describe several techniques for classifier performance assessment, error estimation and resampling, obtaining statistical significance as well as selecting appropriate domains for evaluation. They also present a unified evaluation framework and highlight how different components of evaluation are both significantly interrelated and interdependent. The techniques presented in the book are illustrated using R and WEKA, facilitating better practical insight as well as implementation. Aimed at researchers in the theory and applications of machine learning, this book offers a solid basis for c

Now in its 16th edition, Atkinson & Hilgard’s Introduction to Psychology has been fully revised and updated to reflect all recent research developments, theories and ideas, whilst also retaining all of the qualities which have established it as a leading undergraduate psychology textbook over the past five decades, including its highly accessible and engaging student-centred approach. The established author team of Susan Nolen-Hoeksema, Barbara Fredrickson and Geoffrey R. Loftus has been joined by Christel Lutz (University of Utrecht), who has helped to add a fresh European influence, and thereby create a truly international introductory textbook.The ‘Cutting Edge Research’ box features and ‘Seeing Both Sides’ essays which conclude each chapter have been fully updated and replaced throughout, using contributions from a range of experts across the globe, and really help to bring the text to life for students.

Research has shown that the most effective way to prepare students for practice with real clients is to learn to think in a new way rather than simply learning and using a set of steps. While there is

Research has shown that the most effective way to prepare students for practice with real clients is to learn to think in a new way rather than simply learning and using a set of steps. While there is

Accurate fluid level measurement in dynamic environments can be assessed using a Support Vector Machine (SVM) approach. SVM is a supervised learning model that analyzes and recognizes patterns. It is

This new book provides educators with practical help for using a myriad of available digital tools to transform time-tested models of teaching in order to make 21st century learning more efficient, ef

For medical students, Kauffman (family medicine, Lake Erie College of Osteopathic Medicine) outlines a logical step-by-step approach to history and physical examination using "flows" checklists that r

This supplement can be used in any analytical chemistry course. The exercises teach students how to use Microsoft Excel using applications from statistics, data analysis equilibrium calculations, curv

Offering a comprehensive analysis, bestselling COMPARATIVE CRIMINAL JUSTICE SYSTEMS, 5e compares the various criminal justice systems throughout the world using six model countries: China, England, Fr

Now in its 14th edition, this ground-breaking, market-leading fundamentals of human communication text helps readers improve their communication competency by becoming proficient in using theory and r

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 contents of this textbook have been carefully compiled taking into account changes in the inorganic chemistry. It has been written using simple language with a view to rendering learning easy. Tab

“Practical Applications of Evolutionary Computation to Financial Engineering” presents the state of the art techniques in Financial Engineering using recent results in Machine Learning and Evolutionar