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              Reading Age: 13+ Years

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              Just Enough R!: An Interactive Approach to Machine Learning and Analytics
               

              Just Enough R!: An Interactive Approach to Machine Learning and Analytics (Hardback)

              By Roiger, Richard J.

              • RRP: $242.00
              • $242.00
              • Pub Date
                22 Jul 20

              Just Enough R! An Interactive Approach to Machine Learning and Analytics: presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called se...eing then doing as it first gives step by step explanations using simple, understandable examples of how the various machine learning algorithms work independent of any programming language. This is followed by detailed scripts written in R that apply the algorithms to solve nontrivial problems with real data. The script code is provided allowing the reader to execute the scripts as they study the explanations given in the text. Features Gets you quickly using R as a problem solving tool. Uses RStudio's integrated development environment. Shows how to interface R with SQLite. Includes examples using R's Rattle Graphical User Interface. Requires no prior knowledge of R, machine learning, or computer programming. Offers over 50 Scripts written in R. Several of the scripts are problem solving templates that with slight modification, can be used again and again. Covers the most popular machine learning techniques including ensemble-based methods and logistic regression. Includes end of chapter exercises many of which can be solved by modifying existing scripts. Includes datasets from several areas including business, health and medicine, and science. About the Author Richard J. Roiger is a professor emeritus at Minnesota State University, Mankato where he taught and performed research in the Computer & Information Science Department for over 30 years.
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              ISBN 9780367443207
              Released AU 22 Jul 2020
              Publisher Taylor & Francis Ltd
              Interest Age 16+ years
              Availability
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              Swarm Intelligence Algorithms (Two Volume Set)
               

              Swarm Intelligence Algorithms (Two Volume Set) (Hardback, Contains 2 Hardbacks)

              Edited by Slowik, Adam

              • RRP: $389.00
              • $389.00
              • Pub Date
                20 Aug 20

              Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge be...tween them, resulting in the complex behavior of the entire community. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish or bird flocks. Swarm intelligence algorithms are used to solve difficult optimization problems for which there are no exact solving methods or the use of such methods is impossible, e.g. due to unacceptable computational time. This set comprises two volumes: Swarm Intelligence Algorithms: A Tutorial and Swarm Intelligence Algorithms: Modifications and Applications. The first volume thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. It contains a detailed explanation of how each algorithm works, along with relevant program codes in Matlab and the C ++ programming language, as well as numerical examples illustrating step-by-step how individual algorithms work. The second volume describes selected modifications of these algorithms and presents their practical applications. This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. It contains a short description along with a pseudo-code showing the various stages of its operation. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem.
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              ISBN 9780367023454
              Released AU 20 Aug 2020
              Publisher Taylor & Francis Ltd
              Interest Age 16+ years
              Availability
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              Statistical Machine Learning: A Model-Based Approach
               

              Statistical Machine Learning: A Model-Based Approach (Hardback)

              By Golden, Richard

              • RRP: $114.00
              • $114.00
              • Pub Date
                12 Jun 20

              The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning provides students, engineer...s, and scientists with tools from mathematical statistics and nonlinear optimization theory to become experts in the field of machine learning. In particular, the material in this text directly supports the mathematical analysis and design of old, new, and not-yet-invented nonlinear high-dimensional machine learning algorithms. Book Features: Unified empirical risk minimization framework supports rigorous mathematical analyses of widely used supervised, unsupervised, and reinforcement machine learning algorithms. Matrix calculus methods for supporting machine learning analysis and design applications. Explicit conditions for ensuring convergence of adaptive, batch, minibatch, MCEM, and MCMC learning algorithms that minimize both unimodal and multimodal objective functions. Explicit conditions for characterizing asymptotic properties of M-estimators and model selection criteria such as AIC and BIC in the presence of possible model misspecification. This advanced text is suitable for graduate students or highly motivated undergraduate students in statistics, computer science, electrical engineering, and applied mathematics. The text is self-contained and only assumes knowledge of lower-division linear algebra and upper-division probability theory. Students, professional engineers, and multidisciplinary scientists possessing these minimal prerequisites will find this text challenging yet accessible. About the Author: Richard M. Golden (Ph.D., M.S.E.E., B.S.E.E.) is Professor of Cognitive Science and Participating Faculty Member in Electrical Engineering at the University of Texas at Dallas. Dr. Golden has published articles and given talks at scientific conferences on a wide range of topics in
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              ISBN 9781138484696
              Released AU 12 Jun 2020
              Publisher Taylor & Francis Ltd
              Interest Age 16+ years
              Series Chapman & Hall/CRC Texts in Statistical Science
              Availability
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              Swarm Intelligence Algorithms: Modifications and Applications
               

              Swarm Intelligence Algorithms: Modifications and Applications (Hardback)

              Edited by Slowik, Adam

              • RRP: $221.00
              • $221.00
              • Pub Date
                20 Aug 20

              Nature-based algorithms play an important role among artificial intelligence algorithms. Among them are global optimization algorithms called swarm intelligence algorithms. These algorithms that use the behavior of simple agents and various ways of cooperation between them, are u...sed to solve specific problems that are defined by the so-called objective function. Swarm intelligence algorithms are inspired by the social behavior of various animal species, e.g. ant colonies, bird flocks, bee swarms, schools of fish, etc. The family of these algorithms is very large and additionally includes various types of modifications to enable swarm intelligence algorithms to solve problems dealing with areas other than those for which they were originally developed. This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. It contains a short description along with a pseudo-code showing the various stages of its operation. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem. This book should also be useful for undergraduate and postgraduate students studying nature-based optimization algorithms, and can be a helpful tool for learning these algorithms, along with their modifications and practical applications. In addition, it can be a useful source of knowledge for scientists working in the field of artificial intelligence, as well as for engineers interested in using this type of algorithms in their work. If the reader wishes to expand his knowledge beyond the basics of swarm intelligence algorithms presented in this book and is interested in more detailed information, we recommend the book Swarm Intelligence Algorithms: A Tutorial (Edited by A. Slowik, CRC Press, 2020). It contains a detailed explanation of how each algorithm works, along with relevant program codes in Matlab and the C ++ pr
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              ISBN 9781138391017
              Released AU 20 Aug 2020
              Publisher Taylor & Francis Ltd
              Interest Age 16+ years
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              Nature Inspired Optimization for Image Processing
                

              Nature Inspired Optimization for Image Processing (Hardback)

              By Vasuki, A.

              • RRP: $242.00
              • $242.00
              • Pub Date
                20 Aug 20

              Nature Inspired Optimization Algorithms is a comprehensive book on the most popular optimization algorithms that are based on nature. It starts with an overview of optimization and goes from the classical to the latest swarm intelligence algorithm. Nature has a rich abundance of ...flora and fauna that inspired the development of nature inspired optimization techniques. The study of the intelligent survival strategies of animals, birds and insects in a hostile and ever-changing environment has led to the development of techniques emulating their behaviour. Nature provides us with simple solutions to complex problems in an effective and adaptive manner. This book is a valuable resource for engineers, researchers, faculty and students who are devising optimum solutions to any type of problem. The problems range from computer science to economics covering diverse areas that require maximizing output and minimizing resources and this is the crux of all optimization algorithms. The book is a lucid description of fifteen of the existing important optimization algorithms that are based on swarm intelligence and superior in performance. Features: Detailed description of the algorithms along with pseudocode and flowchart Easily translatable to program code that is also readily available in Mathworks website for some of the algorithms Simple examples to demonstrate the optimization strategies have been given wherever possible that makes understanding easier Standard applications and benchmark datasets for testing and validating the algorithms have been enumerated This book is a reference for under-graduate and post-graduate students. It will be useful to faculty members teaching the subject on optimization. It also a comprehensive guide for researchers who are looking for optimizing resources in attaining the best solution to a problem. The nature inspired optimization algorithms are unconventional and this makes them more efficient than their traditional counterparts.
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              ISBN 9780367255985
              Released AU 20 Aug 2020
              Publisher Taylor & Francis Ltd
              Interest Age 16+ years
              Availability
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              Smart Innovation of Web of Things
               

              Smart Innovation of Web of Things (Hardback)

              Edited by Jain, Aarti; Crespo, Ruben Gonzalez; Khari, Manju

              • RRP: $273.00
              • $273.00
              • Pub Date
                24 Jun 20

              The Web of Things (WoT) is a concept which describes approaches, programming tools, software architectural systems that interface networks of Real-World objects with the World Wide Web. This book is organised into various chapters, each focusing on a unique technology aspect of w...ireless technological aspect of web of things, and aims to cover comprehensively its various applications. This book presents methods to solve emerging problems while mainstreaming adoption of WoT applications. The book emphasis on understanding of WoT and its relation with IoT. It includes a survey of WoT problems & solutions, discussion on the protocols developed for WoT, highlights standardization, innovations & the latest technologies behind WoT and presents case studies for deeper understanding. Each chapter of the book have presented the open issues. The book will be useful to researchers, software developers, under graduate & post graduate students, as well as practitioners.
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              ISBN 9780367275655
              Released AU 24 Jun 2020
              Publisher Taylor & Francis Ltd
              Interest Age General Audience
              Series Internet of Everything IoE
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              Career Management for Artists: A Practical Guide to Representation and Sustainability for Your Studio Practice
               

              Career Management for Artists: A Practical Guide to Representation and Sustainability for Your Studio Practice (Hardback)

              By Miller, Stacy

              • RRP: $252.00
              • $252.00
              • Pub Date
                22 Jun 20

              Both pragmatic and motivational, this book addresses what it means to have a successful long-term career in the arts, taking stock of the current landscape of the art world, introducing new venues in the field, reflecting on issues of social media and exhibition, and ultimately e...ncouraging artists to take control of their professional lives. Weaving conversations from a range of internationally-based artists who have negotiated alternative paths to success, lauded artist and teacher Stacy Miller provides a practical, lively reflection on what it takes to be an artist in our new global landscape. This book covers practical needs, different approaches, and philosophical ways of creating a life and career in the arts. It lays out conventional and nonconventional means to representation, describes being an entrepreneur versus funding independent creative projects, and examines social media for the potential powerhouse it is. Most importantly, it gives artists a way to think about being a professional and the different paths to a successful career in the arts. Perfect for emerging, mid-career, and experienced artists, this book encourages readers to redefine personal success and to act locally, nationally, and internationally in an expanding art world.
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              ISBN 9781138335202
              Released AU 22 Jun 2020
              Publisher Taylor & Francis Ltd
              Interest Age 16+ years
              Availability
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              Introduction to Time Series Modeling with Applications in R
               

              Introduction to Time Series Modeling with Applications in R (Hardback, 2nd New edition)

              By Kitagawa, Genshiro

              • RRP: $189.00
              • $189.00
              • Pub Date
                16 Jun 20

              Praise for the first edition: [This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. ... [It] is a valuable book, especially with its broad and accessible introduction of models in the state space framewo...rk. -Statistics in Medicine What distinguishes this book from comparable introductory texts is the use of state space modeling. Along with this come a number of valuable tools for recursive filtering and smoothing including the Kalman filter, as well as non-Gaussian and sequential Monte Carlo filters ... -MAA Reviews Introduction to Time Series Modeling: with Applications in R, Second Edition covers numerous stationary and nonstationary time series models and tools for estimating and utilizing them. The goal of this book is to enable readers to build their own models to understand, predict and master time series. The second edition makes it possible for readers to reproduce examples in this book by using the freely-available R package TSSS to perform computations for their own real-world time series problems. This book employs the state-space model as a generic tool for time series modeling and presents the Kalman filter, the non-Gaussian filter and the particle filter, as convenient tools for recursive estimation for state-space models. Further, it also takes a unified approach based on the entropy maximization principle and employs various methods of parameter estimation and model selection, including the least squares method, the maximum likelihood method, recursive estimation for state-space models, and model selection by AIC. Along with the standard stationary time series models, such as the AR and ARMA models, the book also introduces nonstationary time series models such as the locally stationary AR model, the trend model, the seasonal adjustment model, the time-varying coefficient AR model and nonlinear non-Gaussian state-space models. About the Author Genshiro Kitagawa is a project
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              ISBN 9780367187330
              Replacement this title has been replaced by: 9780367195052
              Released AU 16 Jun 2020
              Publisher Taylor & Francis Ltd
              Interest Age General Audience
              Series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
              Availability
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              A Practical Approach to Metaheuristics using LabVIEW and MATLAB
               

              A Practical Approach to Metaheuristics using LabVIEW and MATLAB (Paperback)

              By Ponce Cruz, Pedro; Gutierrez, Arturo Molina; Ramirez-Mendoza; Flores, Efrain Mendez; Espinoza, Alexandro Antonio Ortiz

              • RRP: $223.99
              • $223.99
              • Pub Date
                20 Apr 20

              Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners and researchers have been paying extensive attention to those metaheuristic algorithms that are mainly based on natural phenomena. However, w...hen those algorithms are implemented, there are not enough textbooks that deal with theoretical and experimental problems in a friendly manner so this textbook presents a novel structure which includes a complete description of the most important metaheuristic optimization algorithms as well as a new proposal of a new metaheuristic optimization named earthquake optimization. Besides, this textbook also has several practical exercises. In addition, a Toolbox for Matlab and a Toolkit for LabVIEW are integrated as a complementary material of this book. Those toolkits allow readers to move from a simulation environment to an experimentation one very fast. This textbook is suitable for researchers, students, and professionals in several areas as economics, architecture, computer science, electrical engineering, control system and so on. Unique features of this textbook integrate: Developed for researchers, undergraduate, and graduate students and practitioners A friendly description of the main metaheuristic optimization algorithms Theoretical and practical optimization examples A new earthquake optimization algorithm Update state of the art and research optimization projects The authors are multi/interdisciplinary lecturers and researchers who write a structured-friendly learning methodology to understand each metaheuristic optimization algorithm presented in this textbook.
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              ISBN 9780367337049
              Released AU 20 Apr 2020
              Publisher Taylor & Francis Ltd
              Interest Age 16+ years
              Series Chapman & Hall/CRC Computer and Information Science Series
              Availability
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              Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi
               

              Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi (Hardback)

              By Kulkarni, Shrirang Ambaji; Gurupur, Varadrah P.; Fernandes, Steven L.

              • RRP: $105.00
              • $105.00
              • Pub Date
                5 Apr 20

              Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python programming language to Machine Learning has increased its popularity further. Another technology on the horizon is Internet of Things (IoT).... The present book tries to address IoT, Python and Machine Learning along with a small introduction to Image Processing. If you are a novice programmer or have just started exploring IoT or Machine Learning with Python, then this book is for you. Features: Raspberry Pi as IoT is described along with the procedure for installation and configuration. A simple introduction to Python Programming Language along with its popular library packages like NumPy, Pandas, SciPy and Matplotlib are dealt in an exhaustive manner along with relevant examples. Machine Learning along with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification. Image processing on IoT is introduced to the audience who love to apply Machine Learning algorithms to Images The book follows hands-on approach and provide a huge collection of Python programs. About the Authors Dr. Shrirang Ambaji Kulkarni is a prolific learner, author and a faculty with over 18 plus years of experience in the field of Computer Science and Engineering. He is currently working as Associate. Professor at National Institute of Engineering in Department of Computer Science and Engineering, Mysore, India. Dr. Varadraj Gurpur is an eminent faculty and researcher in the field of Health Informatics.. He has authored many research articles in reputed journals. He is currently working as Associate. Professor at University of Central Florida in the Department of Health Informatics, Florida, USA. Dr. Steven Lawrence Fernandes is a high profile researcher in the field of Image Processing. He is currently working as Post-Doctoral Fellow at University of Central Florida in the Department of Computer Science an
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              ISBN 9781138543522
              Released AU 5 Apr 2020
              Publisher Taylor & Francis Ltd
              Interest Age 19+ years
              Availability
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              Total 5.14K jump to: go ‹ previous12345...next ›