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Books > Computing & IT > Applications of computing > Signal processing

Signals and Systems: Pearson New International Edition (Paperback, 2nd edition): Alan Oppenheim, Alan Willsky, with Hamid Signals and Systems: Pearson New International Edition (Paperback, 2nd edition)
Alan Oppenheim, Alan Willsky, with Hamid
R1,658 Discovery Miles 16 580 Ships in 10 - 15 working days

For undergraduate-level courses in Signals and Systems. This comprehensive exploration of signals and systems develops continuous-time and discrete-time concepts/methods in parallel -- highlighting the similarities and differences -- and features introductory treatments of the applications of these basic methods in such areas as filtering, communication, sampling, discrete-time processing of continuous-time signals, and feedback. Relatively self-contained, the text assumes no prior experience with system analysis, convolution, Fourier analysis, or Laplace and z-transforms.

Signals, Systems and Inference, Global Edition (Paperback, Global ed): Alan Oppenheim, George Verghese Signals, Systems and Inference, Global Edition (Paperback, Global ed)
Alan Oppenheim, George Verghese
R1,711 R1,517 Discovery Miles 15 170 Save R194 (11%) Ships in 10 - 15 working days

For upper-level undergraduate courses in deterministic and stochastic signals and system engineering An Integrative Approach to Signals, Systems and Inference Signals, Systems and Inference is a comprehensive text that builds on introductory courses in time- and frequency-domain analysis of signals and systems, and in probability. Directed primarily to upper-level undergraduates and beginning graduate students in engineering and applied science branches, this new textbook pioneers a novel course of study. Instead of the usual leap from broad introductory subjects to highly specialized advanced subjects, this engaging and inclusive text creates a study track for a transitional course. Properties and representations of deterministic signals and systems are reviewed and elaborated on, including group delay and the structure and behavior of state-space models. The text also introduces and interprets correlation functions and power spectral densities for describing and processing random signals. Application contexts include pulse amplitude modulation, observer-based feedback control, optimum linear filters for minimum mean-square-error estimation, and matched filtering for signal detection. Model-based approaches to inference are emphasized, in particular for state estimation, signal estimation, and signal detection. The text explores ideas, methods and tools common to numerous fields involving signals, systems and inference: signal processing, control, communication, time-series analysis, financial engineering, biomedicine, and many others. Signals, Systems and Inference is a long-awaited and flexible text that can be used for a rigorous course in a broad range of engineering and applied science curricula.

Human and Machine Hearing - Extracting Meaning from Sound (Hardcover): Richard F. Lyon Human and Machine Hearing - Extracting Meaning from Sound (Hardcover)
Richard F. Lyon
R1,477 Discovery Miles 14 770 Ships in 10 - 15 working days

Human and Machine Hearing is the first book to comprehensively describe how human hearing works and how to build machines to analyze sounds in the same way that people do. Drawing on over thirty-five years of experience in analyzing hearing and building systems, Richard F. Lyon explains how we can now build machines with close-to-human abilities in speech, music, and other sound-understanding domains. He explains human hearing in terms of engineering concepts, and describes how to incorporate those concepts into machines for a wide range of modern applications. The details of this approach are presented at an accessible level, to bring a diverse range of readers, from neuroscience to engineering, to a common technical understanding. The description of hearing as signal-processing algorithms is supported by corresponding open-source code, for which the book serves as motivating documentation.

High-Dimensional Statistics - A Non-Asymptotic Viewpoint (Hardcover): Martin J Wainwright High-Dimensional Statistics - A Non-Asymptotic Viewpoint (Hardcover)
Martin J Wainwright
R1,442 Discovery Miles 14 420 Ships in 10 - 15 working days

Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters that are focused on core methodology and theory - including tail bounds, concentration inequalities, uniform laws and empirical process, and random matrices - as well as chapters devoted to in-depth exploration of particular model classes - including sparse linear models, matrix models with rank constraints, graphical models, and various types of non-parametric models. With hundreds of worked examples and exercises, this text is intended both for courses and for self-study by graduate students and researchers in statistics, machine learning, and related fields who must understand, apply, and adapt modern statistical methods suited to large-scale data.

Handbook of Spectrum Auction Design (Hardcover): Martin Bichler, Jacob K. Goeree Handbook of Spectrum Auction Design (Hardcover)
Martin Bichler, Jacob K. Goeree
R2,092 Discovery Miles 20 920 Ships in 10 - 15 working days

Following the successful PCS Auction conducted by the US Federal Communications Commission in 1994, auctions have replaced traditional ways of allocating valuable radio spectrum, a key resource for any mobile telecommunications operator. Spectrum auctions have raised billions of dollars worldwide and have become a role model for market-based approaches in the public and private sectors. The design of spectrum auctions is a central application of game theory and auction theory due to its importance in industry and the theoretical challenges it presents. Several auction formats have been developed with different properties addressing fundamental questions about efficiently selling multiple objects to a group of buyers. This comprehensive handbook features classic papers and new contributions by international experts on all aspects of spectrum auction design, including pros and cons of different auctions and lessons learned from theory, experiments, and the field, providing a valuable resource for regulators, telecommunications professionals, consultants, and researchers.

Wireless Physical Layer Network Coding (Hardcover): Jan Sykora, Alister Burr Wireless Physical Layer Network Coding (Hardcover)
Jan Sykora, Alister Burr
R1,785 R1,688 Discovery Miles 16 880 Save R97 (5%) Ships in 10 - 15 working days

Discover a fresh approach for designing more efficient and cooperative wireless communications networks with this systematic guide. Covering everything from fundamental theory to current research topics, leading researchers describe a new, network-aware coding strategy that exploits the signal interactions that occur in dense wireless networks directly at the waveform level. Using an easy-to-follow, layered structure, this unique text begins with a gentle introduction for those new to the subject, before moving on to explain key information-theoretic principles and establish a consistent framework for wireless physical layer network coding (WPNC) strategies. It provides a detailed treatment of Network Coded Modulation, covers a range of WPNC techniques such as Noisy Network Coding, Compute and Forward, and Hierarchical Decode and Forward, and explains how WPNC can be applied to parametric fading channels, frequency selective channels, and complex stochastic networks. This is essential reading whether you are a researcher, graduate student, or professional engineer.

Foundations of MIMO Communication (Hardcover): Robert W. Heath Jr, Angel Lozano Foundations of MIMO Communication (Hardcover)
Robert W. Heath Jr, Angel Lozano
R1,979 R1,872 Discovery Miles 18 720 Save R107 (5%) Ships in 10 - 15 working days

Understand the fundamentals of wireless and MIMO communication with this accessible and comprehensive text. Viewing the subject through an information theory lens, but also drawing on other perspectives, it provides a sound treatment of the key concepts underpinning contemporary wireless communication and MIMO, all the way to massive MIMO. Authoritative and insightful, it includes over 330 worked examples and 450 homework problems, with solutions and MATLAB code and data available online. Altogether, this is an excellent resource for instructors and graduate students, as well as an outstanding reference for researchers and practicing engineers.

Data-Driven Computational Neuroscience - Machine Learning and Statistical Models (Hardcover): Concha Bielza, Pedro Larranaga Data-Driven Computational Neuroscience - Machine Learning and Statistical Models (Hardcover)
Concha Bielza, Pedro Larranaga
R1,871 Discovery Miles 18 710 Ships in 10 - 15 working days

Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with point processes (complete spatial randomness and cluster, regular and Gibbs processes). Cellular, structural, functional, medical and behavioral neuroscience levels are considered.

Full-Duplex Communications and Networks (Hardcover): Lingyang Song, Risto Wichman, Yonghui Li, Zhu Han Full-Duplex Communications and Networks (Hardcover)
Lingyang Song, Risto Wichman, Yonghui Li, Zhu Han
R2,455 R2,327 Discovery Miles 23 270 Save R128 (5%) Ships in 10 - 15 working days

Learn about the key technologies and understand the state of the art in research for full-duplex communication networks and systems with this comprehensive and interdisciplinary guide. Incorporating physical, MAC, network, and application layer perspectives, it explains the fundamental theories on which full-duplex communications are built, and lays out the techniques needed for network design, analysis and optimization. Techniques covered in detail include self-interference cancellation and signal processing algorithms, physical layer algorithms, methods for efficient resource allocation, and game theory. Potential applications and networking schemes are discussed, including full-duplex cognitive radio networks, cooperative networks, and heterogeneous networks. The first book to focus exclusively on full-duplex communications, this is an indispensable reference for both researchers and practitioners designing the next generation of wireless networks.

Mathematical Aspects of Signal Processing (Hardcover): Pradip Sircar Mathematical Aspects of Signal Processing (Hardcover)
Pradip Sircar
R1,352 Discovery Miles 13 520 Ships in 10 - 15 working days

Written using clear and accessible language, this text provides detailed coverage of the core mathematical concepts underpinning signal processing. All the core areas of mathematics are covered, including generalized inverses, singular value decomposition, function representation, and optimization, with detailed explanations of how basic concepts in these areas underpin the methods used to perform signal processing tasks. A particular emphasis is placed on the practical applications of signal processing, with numerous in-text practice questions and real-world examples illustrating key concepts, and MATLAB programs with accompanying graphical representations providing all the necessary computational background. This is an ideal text for graduate students taking courses in signal processing and mathematical methods, or those who want to establish a firm foundation in these areas before progressing to more advanced study.

Lectures on the Poisson Process (Paperback): Gunter Last, Mathew Penrose Lectures on the Poisson Process (Paperback)
Gunter Last, Mathew Penrose
R758 R591 Discovery Miles 5 910 Save R167 (22%) Ships in 7 - 11 working days

The Poisson process, a core object in modern probability, enjoys a richer theory than is sometimes appreciated. This volume develops the theory in the setting of a general abstract measure space, establishing basic results and properties as well as certain advanced topics in the stochastic analysis of the Poisson process. Also discussed are applications and related topics in stochastic geometry, including stationary point processes, the Boolean model, the Gilbert graph, stable allocations, and hyperplane processes. Comprehensive, rigorous, and self-contained, this text is ideal for graduate courses or for self-study, with a substantial number of exercises for each chapter. Mathematical prerequisites, mainly a sound knowledge of measure-theoretic probability, are kept in the background, but are reviewed comprehensively in the appendix. The authors are well-known researchers in probability theory; especially stochastic geometry. Their approach is informed both by their research and by their extensive experience in teaching at undergraduate and graduate levels.

Information Theoretic Security and Privacy of Information Systems (Hardcover): Holger Boche, H. Vincent Poor Information Theoretic Security and Privacy of Information Systems (Hardcover)
Holger Boche, H. Vincent Poor
R2,555 R2,421 Discovery Miles 24 210 Save R134 (5%) Ships in 10 - 15 working days

Gain a solid understanding of how information theoretic approaches can inform the design of more secure information systems and networks with this authoritative text. With a particular focus on theoretical models and analytical results, leading researchers show how techniques derived from the principles of source and channel coding can provide new ways of addressing issues of data security, embedded security, privacy, and authentication in modern information systems. A wide range of wireless and cyber-physical systems is considered, including 5G cellular networks, the Tactile Internet, biometric identification systems, online data repositories, and smart electricity grids. This is an invaluable guide for both researchers and graduate students working in communications engineering, and industry practitioners and regulators interested in improving security in the next generation of information systems.

Signals and Systems - Principles and Applications (Hardcover): Shaila Dinkar Apte Signals and Systems - Principles and Applications (Hardcover)
Shaila Dinkar Apte
R1,668 R1,481 Discovery Miles 14 810 Save R187 (11%) Ships in 10 - 15 working days

This book provides a rigorous treatment of deterministic and random signals. It offers detailed information on topics including random signals, system modelling and system analysis. System analysis in frequency domain using Fourier transform and Laplace transform is explained with theory and numerical problems. The advanced techniques used for signal processing, especially for speech and image processing, are discussed. The properties of continuous time and discrete time signals are explained with a number of numerical problems. The physical significance of different properties is explained using real-life examples. To aid understanding, concept check questions, review questions, a summary of important concepts, and frequently asked questions are included. MATLAB programs, with output plots and simulation examples, are provided for each concept. Students can execute these simulations and verify the outputs.

Digital Signal Processing: Pearson New International Edition (Paperback, 4th edition): John Proakis, Dimitris Manolakis Digital Signal Processing: Pearson New International Edition (Paperback, 4th edition)
John Proakis, Dimitris Manolakis
R1,699 Discovery Miles 16 990 Ships in 10 - 15 working days

A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing.

The Mathematics of Signal Processing (Paperback): Steven B. Damelin, Willard Miller Jr The Mathematics of Signal Processing (Paperback)
Steven B. Damelin, Willard Miller Jr
R1,316 Discovery Miles 13 160 Ships in 10 - 15 working days

Arising from courses taught by the authors, this largely self-contained treatment is ideal for mathematicians who are interested in applications or for students from applied fields who want to understand the mathematics behind their subject. Early chapters cover Fourier analysis, functional analysis, probability and linear algebra, all of which have been chosen to prepare the reader for the applications to come. The book includes rigorous proofs of core results in compressive sensing and wavelet convergence. Fundamental is the treatment of the linear system y= x in both finite and infinite dimensions. There are three possibilities: the system is determined, overdetermined or underdetermined, each with different aspects. The authors assume only basic familiarity with advanced calculus, linear algebra and matrix theory and modest familiarity with signal processing, so the book is accessible to students from the advanced undergraduate level. Many exercises are also included.

Discrete-Time Signal Processing: Pearson New International Edition (Paperback, 3rd edition): Alan Oppenheim, Ronald Schafer Discrete-Time Signal Processing: Pearson New International Edition (Paperback, 3rd edition)
Alan Oppenheim, Ronald Schafer
R1,704 Discovery Miles 17 040 Ships in 10 - 15 working days

For senior/graduate-level courses in Discrete-Time Signal Processing. THE definitive, authoritative text on DSP - ideal for those with an introductory-level knowledge of signals and systems. Written by prominent DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant to the new challenges arising in the field. Access to the password-protected companion Website and myeBook is included with each new copy of Discrete-Time Signal Processing, Third Edition.

Signal Processing Algorithms for Communication and Radar Systems (Hardcover): Kung Yao Signal Processing Algorithms for Communication and Radar Systems (Hardcover)
Kung Yao
R1,910 R1,803 Discovery Miles 18 030 Save R107 (6%) Ships in 10 - 15 working days

Based on time-tested course material, this authoritative text examines the key topics, advanced mathematical concepts, and novel analytical tools needed to understand modern communication and radar systems. It covers computational linear algebra theory, VLSI systolic algorithms and designs, practical aspects of chaos theory, and applications in beamforming and array processing, and uses a variety of CDMA codes, as well as acoustic sensing and beamforming algorithms to illustrate key concepts. Classical topics such as spectral analysis are also covered, and each chapter includes a wealth of homework problems. This is an invaluable text for graduate students in electrical and computer engineering, and an essential reference for practitioners in communications and radar engineering.

Digital Signal Processing First, Global Edition (Paperback, 2nd edition): James McClellan, Ronald Schafer, Mark Yoder Digital Signal Processing First, Global Edition (Paperback, 2nd edition)
James McClellan, Ronald Schafer, Mark Yoder
R1,827 R1,606 Discovery Miles 16 060 Save R221 (12%) Ships in 10 - 15 working days

For introductory courses (freshman and sophomore courses) in Digital Signal Processing and Signals and Systems. Text may be used before the student has taken a course in circuits. DSP First and its accompanying digital assets are the result of more than 20 years of work that originated from, and was guided by, the premise that signal processing is the best starting point for the study of electrical and computer engineering. The "DSP First" approach introduces the use of mathematics as the language for thinking about engineering problems, lays the groundwork for subsequent courses, and gives students hands-on experiences with MATLAB. The Second Edition features three new chapters on the Fourier Series, Discrete-Time Fourier Transform, and the The Discrete Fourier Transform as well as updated labs, visual demos, an update to the existing chapters, and hundreds of new homework problems and solutions.

Explorations in Time-Frequency Analysis (Hardcover): Patrick Flandrin Explorations in Time-Frequency Analysis (Hardcover)
Patrick Flandrin
R1,152 Discovery Miles 11 520 Ships in 10 - 15 working days

An authoritative exposition of the methods at the heart of modern non-stationary signal processing from a recognised leader in the field. Offering a global view that favours interpretations and historical perspectives, it explores the basic concepts of time-frequency analysis, and examines the most recent results and developments in the field in the context of existing, lesser-known approaches. Several example waveform families from bioacoustics, mathematics and physics are examined in detail, with the methods for their analysis explained using a wealth of illustrative examples. Methods are discussed in terms of analysis, geometry and statistics. This is an excellent resource for anyone wanting to understand the 'why and how' of important methodological developments in time-frequency analysis, including academics and graduate students in signal processing and applied mathematics, as well as application-oriented scientists.

Handbook of Signal Processing in Acoustics (Hardcover, 2008 ed.): David Havelock, Sonoko Kuwano, Michael Vorlander Handbook of Signal Processing in Acoustics (Hardcover, 2008 ed.)
David Havelock, Sonoko Kuwano, Michael Vorlander
R10,071 Discovery Miles 100 710 Ships in 10 - 15 working days

The Handbook of Signal Processing in Acoustics brings together a wide range of perspectives from over 100 authors to reveal the interdisciplinary nature of the subject. It brings the key issues from both acoustics and signal processing into perspective and is a unique resource for experts and practitioners alike to find new ideas and techniques within the diversity of signal processing in acoustics.

Novel Motion Anchoring Strategies for Wavelet-based Highly Scalable Video Compression (Hardcover, 1st ed. 2018): Dominic... Novel Motion Anchoring Strategies for Wavelet-based Highly Scalable Video Compression (Hardcover, 1st ed. 2018)
Dominic Rufenacht
R2,752 R2,465 Discovery Miles 24 650 Save R287 (10%) Ships in 10 - 15 working days

A key element of any modern video codec is the efficient exploitation of temporal redundancy via motion-compensated prediction. In this book, a novel paradigm of representing and employing motion information in a video compression system is described that has several advantages over existing approaches. Traditionally, motion is estimated, modelled, and coded as a vector field at the target frame it predicts. While this "prediction-centric" approach is convenient, the fact that the motion is "attached" to a specific target frame implies that it cannot easily be re-purposed to predict or synthesize other frames, which severely hampers temporal scalability. In light of this, the present book explores the possibility of anchoring motion at reference frames instead. Key to the success of the proposed "reference-based" anchoring schemes is high quality motion inference, which is enabled by the use of a more "physical" motion representation than the traditionally employed "block" motion fields. The resulting compression system can support computationally efficient, high-quality temporal motion inference, which requires half as many coded motion fields as conventional codecs. Furthermore, "features" beyond compressibility - including high scalability, accessibility, and "intrinsic" framerate upsampling - can be seamlessly supported. These features are becoming ever more relevant as the way video is consumed continues shifting from the traditional broadcast scenario to interactive browsing of video content over heterogeneous networks. This book is of interest to researchers and professionals working in multimedia signal processing, in particular those who are interested in next-generation video compression. Two comprehensive background chapters on scalable video compression and temporal frame interpolation make the book accessible for students and newcomers to the field.

Stochastic Geometry Analysis of Cellular Networks (Hardcover): Bartlomiej Blaszczyszyn, Martin Haenggi, Paul Keeler, Sayandev... Stochastic Geometry Analysis of Cellular Networks (Hardcover)
Bartlomiej Blaszczyszyn, Martin Haenggi, Paul Keeler, Sayandev Mukherjee
R2,263 R2,126 Discovery Miles 21 260 Save R137 (6%) Ships in 10 - 15 working days

Achieve faster and more efficient network design and optimization with this comprehensive guide. Some of the most prominent researchers in the field explain the very latest analytic techniques and results from stochastic geometry for modelling the signal-to-interference-plus-noise ratio (SINR) distribution in heterogeneous cellular networks. This book will help readers to understand the effects of combining different system deployment parameters on key performance indicators such as coverage and capacity, enabling the efficient allocation of simulation resources. In addition to covering results for network models based on the Poisson point process, this book presents recent results for when non-Poisson base station configurations appear Poisson, due to random propagation effects such as fading and shadowing, as well as non-Poisson models for base station configurations, with a focus on determinantal point processes and tractable approximation methods. Theoretical results are illustrated with practical Long-Term Evolution (LTE) applications and compared with real-world deployment results.

Signal Processing and Networking for Big Data Applications (Hardcover): Zhu Han, Mingyi Hong, Dan Wang Signal Processing and Networking for Big Data Applications (Hardcover)
Zhu Han, Mingyi Hong, Dan Wang
R2,656 R2,512 Discovery Miles 25 120 Save R144 (5%) Ships in 10 - 15 working days

This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. It presents fundamental signal processing theories and software implementations, reviews current research trends and challenges, and describes the techniques used for analysis, design and optimization. Readers will learn about key theoretical issues such as data modelling and representation, scalable and low-complexity information processing and optimization, tensor and sublinear algorithms, and deep learning and software architecture, and their application to a wide range of engineering scenarios. Applications discussed in detail include wireless networking, smart grid systems, and sensor networks and cloud computing. This is the ideal text for researchers and practising engineers wanting to solve practical problems involving large amounts of data, and for students looking to grasp the fundamentals of big data analytics.

Compressed Sensing in Radar Signal Processing (Hardcover): Antonio De Maio, Yonina C. Eldar, Alexander M. Haimovich Compressed Sensing in Radar Signal Processing (Hardcover)
Antonio De Maio, Yonina C. Eldar, Alexander M. Haimovich
R2,409 R2,262 Discovery Miles 22 620 Save R147 (6%) Ships in 10 - 15 working days

Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar.

Machine Learning Refined - Foundations, Algorithms, and Applications (Hardcover, 2nd Revised edition): Jeremy Watt, Reza... Machine Learning Refined - Foundations, Algorithms, and Applications (Hardcover, 2nd Revised edition)
Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos
R1,436 Discovery Miles 14 360 Ships in 10 - 15 working days

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.

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