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Is your company spending too much time on strategy development--with too little to show for it? If you read nothing else on strategy, read these 10 articles (featuring What Is Strategy? by Michael E. Porter). We've combed through hundreds of Harvard Business Review articles and selected the most important ones ...
HBR's 10 Must Reads on Strategy (including featured article What Is Strategy? by Michael E. Porter)
Is your company spending too much time on strategy development--with too little to show for it? If you read nothing else on strategy, read these 10 articles (featuring What Is Strategy? by Michael E. Porter). We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you catalyze your organization's strategy development and execution. HBR's 10 Must Reads on Strategy will inspire you to: * Distinguish your company from rivals * Clarify what your company will and won't do * Craft a vision for an uncertain future * Create blue oceans of uncontested market space * Use the Balanced Scorecard to measure your strategy * Capture your strategy in a memorable phrase * Make priorities explicit * Allocate resources early * Clarify decision rights for faster decision making This collection of best-selling articles includes: featured article What Is Strategy? by Michael E. Porter, The Five Competitive Forces That Shape Strategy, Building Your Company's Vision, Reinventing Your Business Model, Blue Ocean Strategy, The Secrets to Successful Strategy Execution, Using the Balanced Scorecard as a Strategic Management System, Transforming Corner-Office Strategy into Frontline Action, Turning Great Strategy into Great Performance, and Who Has the D? How Clear Decision Roles Enhance Organizational Performance.
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28.61 USD

HBR's 10 Must Reads on Strategy (including featured article What Is Strategy? by Michael E. Porter)

by Renee a Mauborgne, W.Chan Kim, Michael E. Porter, Harvard Business Review
Paperback / softback
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Most company's change initiatives fail. Yours don't have to. If you read nothing else on change management, read these 10 articles (featuring Leading Change, by John P. Kotter). We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you spearhead change in your ...
HBR's 10 Must Reads on Change Management (including featured article Leading Change, by John P. Kotter)
Most company's change initiatives fail. Yours don't have to. If you read nothing else on change management, read these 10 articles (featuring Leading Change, by John P. Kotter). We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you spearhead change in your organization. HBR's 10 Must Reads on Change Management will inspire you to: - Lead change through eight critical stages - Establish a sense of urgency - Overcome addiction to the status quo - Mobilize commitment - Silence naysayers - Minimize the pain of change - Concentrate resources - Motivate change when business is good This collection of best-selling articles includes: featured article Leading Change: Why Transformation Efforts Fail by John P. Kotter, Change Through Persuasion, Leading Change When Business Is Good: An Interview with Samuel J. Palmisano, Radical Change, the Quiet Way, Tipping Point Leadership, A Survival Guide for Leaders, The Real Reason People Won't Change, Cracking the Code of Change, The Hard Side of Change Management, and Why Change Programs Don't Produce Change.
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28.61 USD

HBR's 10 Must Reads on Change Management (including featured article Leading Change, by John P. Kotter)

by Renee a Mauborgne, W.Chan Kim, John P. Kotter, Harvard Business Review
Paperback / softback
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The path to your professional success starts with a critical look in the mirror. If you read nothing else on managing yourself, read these 10 articles (plus the bonus article How Will You Measure Your Life? by Clayton M. Christensen). We've combed through hundreds of Harvard Business Review articles to ...
HBR's 10 Must Reads on Managing Yourself (with bonus article How Will You Measure Your Life? by Clayton M. Christensen)
The path to your professional success starts with a critical look in the mirror. If you read nothing else on managing yourself, read these 10 articles (plus the bonus article How Will You Measure Your Life? by Clayton M. Christensen). We've combed through hundreds of Harvard Business Review articles to select the most important ones to help you maximize yourself. HBR's 10 Must Reads on Managing Yourself will inspire you to: Stay engaged throughout your 50+-year work life Tap into your deepest values Solicit candid feedback Replenish physical and mental energy Balance work, home, community, and self Spread positive energy throughout your organization Rebound from tough times Decrease distractibility and frenzy Delegate and develop employees' initiative This collection of best-selling articles includes: bonus article How Will You Measure Your Life? by Clayton M. Christensen, Managing Oneself, Management Time: Who's Got the Monkey? How Resilience Works, Manage Your Energy, Not Your Time, Overloaded Circuits: Why Smart People Underperform, Be a Better Leader, Have a Richer Life, Reclaim Your Job, Moments of Greatness: Entering the Fundamental State of Leadership, What to Ask the Person in the Mirror, and Primal Leadership: The Hidden Driver of Great Performance.
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28.61 USD

HBR's 10 Must Reads on Managing Yourself (with bonus article How Will You Measure Your Life? by Clayton M. Christensen)

by Daniel Goleman, Clayton M. Christensen, Peter F. Drucker
Paperback / softback
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Go from being a good manager to an extraordinary leader. If you read nothing else on leadership, read these 10 articles (featuring What Makes an Effective Executive, by Peter F. Drucker). We've combed through hundreds of Harvard Business Review articles on leadership and selected the most important ones to help ...
HBR's 10 Must Reads on Leadership (with featured article What Makes an Effective Executive, by Peter F. Drucker)
Go from being a good manager to an extraordinary leader. If you read nothing else on leadership, read these 10 articles (featuring What Makes an Effective Executive, by Peter F. Drucker). We've combed through hundreds of Harvard Business Review articles on leadership and selected the most important ones to help you maximize your own and your organization's performance. HBR's 10 Must Reads On Leadership will inspire you to: - Motivate others to excel - Build your team's self-confidence in others - Provoke positive change - Set direction - Encourage smart risk-taking - Manage with tough empathy - Credit others for your success - Increase self-awareness - Draw strength from adversity This collection of best-selling articles includes: featured article What Makes an Effective Executive by Peter F. Drucker, What Makes a Leader? What Leaders Really Do, The Work of Leadership, Why Should Anyone Be Led by You? Crucibles of Leadership, Level 5 Leadership: The Triumph of Humility and Fierce Resolve, Seven Transformations of Leadership, Discovering Your Authentic Leadership, and In Praise of the Incomplete Leader.
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28.61 USD

HBR's 10 Must Reads on Leadership (with featured article What Makes an Effective Executive, by Peter F. Drucker)

by Bill George, Daniel Goleman, Peter Ferdinand Drucker, Harvard Business Review
Paperback / softback
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NEW from the bestselling HBR's 10 Must Reads series. Most teams underperform. Yours can beat the odds. If you read nothing else on building better teams, read these 10 articles. We've combed through hundreds of articles in the Harvard Business Review archive and selected the most important ones to help ...
HBR's 10 Must Reads on Teams (with featured article The Discipline of Teams, by Jon R. Katzenbach and Douglas K. Smith)
NEW from the bestselling HBR's 10 Must Reads series. Most teams underperform. Yours can beat the odds. If you read nothing else on building better teams, read these 10 articles. We've combed through hundreds of articles in the Harvard Business Review archive and selected the most important ones to help you assemble and steer teams that get results. Leading experts such as Jon Katzenbach, Teresa Amabile, and Tamara Erickson provide the insights and advice you need to: * Boost team performance through mutual accountability * Motivate large, diverse groups to tackle complex projects * Increase your teams' emotional intelligence * Prevent decision deadlock * Extract results from a bunch of touchy superstars * Fight constructively with top-management colleagues Looking for more Must Read articles from Harvard Business Review? Check out these titles in the popular series: HBR's 10 Must Reads: The Essentials HBR's 10 Must Reads on Communication HBR's 10 Must Reads on Collaboration HBR's 10 Must Reads on Innovation HBR's 10 Must Reads on Leadership HBR's 10 Must Reads on Making Smart Decisions HBR's 10 Must Reads on Managing Yourself HBR's 10 Must Reads on Strategic Marketing
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28.61 USD

HBR's 10 Must Reads on Teams (with featured article The Discipline of Teams, by Jon R. Katzenbach and Douglas K. Smith)

by Lynda Gratton, Kathleen M Eisenhardt, Jon R. Katzenbach, Harvard Business Review
Paperback / softback
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In his defining work on emotional intelligence, bestselling author Daniel Goleman found that it is twice as important as other competencies in determining outstanding leadership. If you read nothing else on emotional intelligence, read these 10 articles by experts in the field. We've combed through hundreds of articles in the ...
HBR's 10 Must Reads on Emotional Intelligence (with featured article What Makes a Leader? by Daniel Goleman)(HBR's 10 Must Reads)
In his defining work on emotional intelligence, bestselling author Daniel Goleman found that it is twice as important as other competencies in determining outstanding leadership. If you read nothing else on emotional intelligence, read these 10 articles by experts in the field. We've combed through hundreds of articles in the Harvard Business Review archive and selected the most important ones to help you boost your emotional skills--and your professional success. This book will inspire you to: * Monitor and channel your moods and emotions * Make smart, empathetic people decisions * Manage conflict and regulate emotions within your team * React to tough situations with resilience * Better understand your strengths, weaknesses, needs, values, and goals * Develop emotional agility This collection of articles includes: What Makes a Leader by Daniel Goleman, Primal Leadership: The Hidden Driver of Great Performance by Daniel Goleman, Richard Boyatzis, and Annie McKee, Why It's So Hard to Be Fair by Joel Brockner, Why Good Leaders Make Bad Decisions by Andrew Campbell, Jo Whitehead, and Sydney Finkelstein, Building the Emotional Intelligence of Groups by Vanessa Urch Druskat and Steve B. Wolff, The Price of Incivility: Lack of Respect Hurts Morale--and the Bottom Line by Christine Porath and Christine Pearson, How Resilience Works by Diane Coutu, Emotional Agility: How Effective Leaders Manage Their Negative Thoughts and Feelings by Susan David and Christina Congleton, Fear of Feedback by Jay M. Jackman and Myra H. Strober, and The Young and the Clueless by Kerry A. Bunker, Kathy E. Kram, and Sharon Ting.
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28.61 USD

HBR's 10 Must Reads on Emotional Intelligence (with featured article What Makes a Leader? by Daniel Goleman)(HBR's 10 Must Reads)

by Sydney Finkelstein, Annie McKee, Richard E. Boyatzis, Daniel Goleman
Paperback / softback
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Working mostly alone, almost single-handedly writing 250,000 lines of computer code, Steve Grand produced Creatures (R), a revolutionary computer game that allowed players to create living beings complete with brains, genes, and hormonal systems-creatures that would live and breathe and breed in real time on an ordinary desktop computer. Enormously ...
Creation: Life and How to Make It
Working mostly alone, almost single-handedly writing 250,000 lines of computer code, Steve Grand produced Creatures (R), a revolutionary computer game that allowed players to create living beings complete with brains, genes, and hormonal systems-creatures that would live and breathe and breed in real time on an ordinary desktop computer. Enormously successful, the game inevitably raises the question: What is artificial life? And in this book-a chance for the devoted fan and the simply curious onlooker to see the world from the perspective of an original philosopher-engineer and intellectual maverick-Steve Grand proposes an answer. From the composition of the brains and bodies of artificial life forms to the philosophical guidelines and computational frameworks that define them, Creation plumbs the practical, social, and ethical aspects and implications of the state of the art. But more than that, the book gives readers access to the insights Grand acquired in writing Creatures-insights that yield a view of the world that is surprisingly antireductionist, antimaterialist, and (to a degree) antimechanistic, a view that sees matter, life, mind, and society as simply different levels of the same thing. Such a hierarchy, Grand suggests, can be mirrored by an equivalent one that exists inside a parallel universe called cyberspace.
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29.920000 USD

Creation: Life and How to Make It

by Steve Grand
Paperback / softback
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The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but we have cleverer brains. If machine brains one day come to surpass human brains in ...
Superintelligence: Paths, Dangers, Strategies
The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but we have cleverer brains. If machine brains one day come to surpass human brains in general intelligence, then this new superintelligence could become very powerful. As the fate of the gorillas now depends more on us humans than on the gorillas themselves, so the fate of our species then would come to depend on the actions of the machine superintelligence. But we have one advantage: we get to make the first move. Will it be possible to construct a seed AI or otherwise to engineer initial conditions so as to make an intelligence explosion survivable? How could one achieve a controlled detonation? To get closer to an answer to this question, we must make our way through a fascinating landscape of topics and considerations. Read the book and learn about oracles, genies, singletons; about boxing methods, tripwires, and mind crime; about humanity's cosmic endowment and differential technological development; indirect normativity, instrumental convergence, whole brain emulation and technology couplings; Malthusian economics and dystopian evolution; artificial intelligence, and biological cognitive enhancement, and collective intelligence. This profoundly ambitious and original book picks its way carefully through a vast tract of forbiddingly difficult intellectual terrain. Yet the writing is so lucid that it somehow makes it all seem easy. After an utterly engrossing journey that takes us to the frontiers of thinking about the human condition and the future of intelligent life, we find in Nick Bostrom's work nothing less than a reconceptualization of the essential task of our time.
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18.60 USD

Superintelligence: Paths, Dangers, Strategies

by Nick Bostrom
Paperback / softback
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How does the brain recognise images? Could computers drive? How is it possible for man-made programmes to beat the world's best chess players? In this fascinating look into the human mind, Ray Kurzweil relates the advanced brain processes we take for granted in our everyday lives, our sense of self ...
How to Create a Mind: The Secret of Human Thought Revealed
How does the brain recognise images? Could computers drive? How is it possible for man-made programmes to beat the world's best chess players? In this fascinating look into the human mind, Ray Kurzweil relates the advanced brain processes we take for granted in our everyday lives, our sense of self and intellect - and explains how artificial intelligence, once only the province of science fiction, is rapidly catching up. Effortlessly unravelling the complexity of his subject, unfolding such key areas as love, learning and logic, he shows how the building blocks for our future machines exist underneath. Kurzweil examines the radical possibilities of a world in which humans and intelligent machines could live side by side.
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37.19 USD

How to Create a Mind: The Secret of Human Thought Revealed

by Ray Kurzweil
Hardback
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This book explains why AI is unique, what legal and ethical problems it could cause, and how we can address them. It argues that AI is unlike any other previous technology, owing to its ability to take decisions independently and unpredictably. This gives rise to three issues: responsibility--who is liable ...
Robot Rules: Regulating Artificial Intelligence
This book explains why AI is unique, what legal and ethical problems it could cause, and how we can address them. It argues that AI is unlike any other previous technology, owing to its ability to take decisions independently and unpredictably. This gives rise to three issues: responsibility--who is liable if AI causes harm; rights--the disputed moral and pragmatic grounds for granting AI legal personality; and the ethics surrounding the decision-making of AI. The book suggests that in order to address these questions we need to develop new institutions and regulations on a cross-industry and international level. Incorporating clear explanations of complex topics, Robot Rules will appeal to a multi-disciplinary audience, from those with an interest in law, politics and philosophy, to computer programming, engineering and neuroscience.
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46.47 USD

Robot Rules: Regulating Artificial Intelligence

by Jacob Turner
Paperback / softback
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The second edition of a comprehensive introduction to all aspects of mobile robotics, from algorithms to mechanisms. Mobile robots range from the Mars Pathfinder mission's teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile ...
Introduction to Autonomous Mobile Robots
The second edition of a comprehensive introduction to all aspects of mobile robotics, from algorithms to mechanisms. Mobile robots range from the Mars Pathfinder mission's teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mechanical, motor, sensory, perceptual, and cognitive layers the field comprises. The text focuses on mobility itself, offering an overview of the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks, including locomotion, sensing, localization, and motion planning. It synthesizes material from such fields as kinematics, control theory, signal analysis, computer vision, information theory, artificial intelligence, and probability theory. The book presents the techniques and technology that enable mobility in a series of interacting modules. Each chapter treats a different aspect of mobility, as the book moves from low-level to high-level details. It covers all aspects of mobile robotics, including software and hardware design considerations, related technologies, and algorithmic techniques. This second edition has been revised and updated throughout, with 130 pages of new material on such topics as locomotion, perception, localization, and planning and navigation. Problem sets have been added at the end of each chapter. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook or a working tool for beginning practitioners. Curriculum developed by Dr. Robert King, Colorado School of Mines, and Dr. James Conrad, University of North Carolina-Charlotte, to accompany the National Instruments LabVIEW Robotics Starter Kit, are available. Included are 13 (6 by Dr. King and 7 by Dr. Conrad) laboratory exercises for using the LabVIEW Robotics Starter Kit to teach mobile robotics concepts.
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115.30 USD

Introduction to Autonomous Mobile Robots

by Davide Scaramuzza, Illah Reza Nourbakhsh, Roland Siegwart
Hardback
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This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a ...
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorisation, and spectral clustering. There is also a chapter on methods for wide'' data (p bigger than n), including multiple testing and false discovery rates.
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133.61 USD

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition

by Jerome Friedman, Robert Tibshirani, Trevor Hastie
Hardback
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Tracing the fertile series of collaborations between arts and sciences throughout the twentieth century, Randall Packer and Ken Jordan present the often overlooked history behind multimedia-the interfaces, links, and interactivity we all take for granted today. Many of the papers that had profound impact upon my development-to say nothing of ...
Multimedia: From Wagner to Virtual Reality
Tracing the fertile series of collaborations between arts and sciences throughout the twentieth century, Randall Packer and Ken Jordan present the often overlooked history behind multimedia-the interfaces, links, and interactivity we all take for granted today. Many of the papers that had profound impact upon my development-to say nothing of the entire industry-are here, raves Donald A. Norman, author of The Invisible Computer. In an evocative whirlwind tour through 100 years of work (Wired), Packer and Jordan bring together an historically significant (Slashdot) collection of the groundbreaking visions of scientists like Vannevar Bush, Douglas Englebart, and Norbert Wiener, and artists like John Cage, Nam June Paik, and William Gibson. Their insightful explanations of the core concepts behind multimedia provide historical context that reads like a Western civ of modern media (Film/Tape World).
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28.300000 USD

Multimedia: From Wagner to Virtual Reality

Paperback
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Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). ...
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining.
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102.28 USD

Data Mining: Concepts and Techniques

by Jian Pei, Micheline Kamber, Jiawei Han
Hardback
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Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing ...
Quantum Machine Learning
Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. For example, the outcome of the measurement of a qubit could reveal the result of a binary classification task. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices. The salient features of the book include: In depth analysis of the subject matter with mathematical discourse Video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents. Examples on real life applications. Illustrative diagrams Coding examples
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133.340000 USD

Quantum Machine Learning

Hardback
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This book presents a unique examination of mobile robots and embedded systems, from introductory to intermediate level. It is structured in three parts, dealing with Embedded Systems (hardware and software design, actuators, sensors, PID control, multitasking), Mobile Robot Design (driving, balancing, walking, and flying robots), and Mobile Robot Applications (mapping, ...
Embedded Robotics: Mobile Robot Design and Applications with Embedded Systems
This book presents a unique examination of mobile robots and embedded systems, from introductory to intermediate level. It is structured in three parts, dealing with Embedded Systems (hardware and software design, actuators, sensors, PID control, multitasking), Mobile Robot Design (driving, balancing, walking, and flying robots), and Mobile Robot Applications (mapping, robot soccer, genetic algorithms, neural networks, behavior-based systems, and simulation). The book is written as a text for courses in computer science, computer engineering, IT, electronic engineering, and mechatronics, as well as a guide for robot hobbyists and researchers.
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115.490000 USD

Embedded Robotics: Mobile Robot Design and Applications with Embedded Systems

by Thomas Braunl
Paperback / softback
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The classic text on robot manipulators now covers visual control, motion planning and mobile robots too! Based on the successful Modelling and Control of Robot Manipulators by Sciavicco and Siciliano (Springer, 2000), Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control. It has been expanded ...
Robotics: Modelling, Planning and Control
The classic text on robot manipulators now covers visual control, motion planning and mobile robots too! Based on the successful Modelling and Control of Robot Manipulators by Sciavicco and Siciliano (Springer, 2000), Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control. It has been expanded to include coverage of mobile robots, visual control and motion planning. A variety of problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained. The text includes coverage of fundamental topics like kinematics, and trajectory planning and related technological aspects including actuators and sensors. To impart practical skill, examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, end-of-chapter exercises are proposed, and the book is accompanied by an electronic solutions manual containing the MATLAB (R) code for computer problems; this is available free of charge to those adopting this volume as a textbook for courses.
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125.990000 USD

Robotics: Modelling, Planning and Control

by Giuseppe Oriolo, Luigi Villani, Lorenzo Sciavicco, Bruno Siciliano
Hardback
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This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. ...
Pattern Recognition and Machine Learning
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
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139.46 USD

Pattern Recognition and Machine Learning

by Christopher M. Bishop
Hardback
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This book provides a comprehensive review of progress in the acquisition and extraction of electrocardiogram signals. The coverage is extensive, from a review of filtering techniques to measurement of heart rate variability, to aortic pressure measurement, to strategies for assessing contractile effort of the left ventricle and more. The book ...
Advances in Cardiac Signal Processing
This book provides a comprehensive review of progress in the acquisition and extraction of electrocardiogram signals. The coverage is extensive, from a review of filtering techniques to measurement of heart rate variability, to aortic pressure measurement, to strategies for assessing contractile effort of the left ventricle and more. The book concludes by assessing the future of cardiac signal processing, leading to next generation research which directly impact cardiac health care.
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262.490000 USD

Advances in Cardiac Signal Processing

Hardback
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Generally speaking, Biosignals refer to signals recorded from the human body. They can be either electrical (e. g. Electrocardiogram (ECG), Electroencephalogram (EEG), Electromyogram (EMG), etc. ) or non-electrical (e. g. breathing, movements, etc. ). The acquisition and processing of such signals play an important role in clinical routines. They are ...
Advanced Biosignal Processing
Generally speaking, Biosignals refer to signals recorded from the human body. They can be either electrical (e. g. Electrocardiogram (ECG), Electroencephalogram (EEG), Electromyogram (EMG), etc. ) or non-electrical (e. g. breathing, movements, etc. ). The acquisition and processing of such signals play an important role in clinical routines. They are usually considered as major indicators which provide clinicians and physicians with useful information during diagnostic and monitoring processes. In some applications, the purpose is not necessarily medical. It may also be industrial. For instance, a real-time EEG system analysis can be used to control and analyze the vigilance of a car driver. In this case, the purpose of such a system basically consists of preventing crash risks. Furthermore, in certain other appli- tions,asetof biosignals (e. g. ECG,respiratorysignal,EEG,etc. ) can be used toc- trol or analyze human emotions. This is the case of the famous polygraph system, also known as the lie detector , the ef ciency of which remains open to debate! Thus when one is dealing with biosignals, special attention must be given to their acquisition, their analysis and their processing capabilities which constitute the nal stage preceding the clinical diagnosis. Naturally, the diagnosis is based on the information provided by the processing system.
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167.990000 USD

Advanced Biosignal Processing

Paperback / softback
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How to develop robots that will be more like humans and less like computers, more social than machine-like, and more playful and less programmed. Most robots are not very friendly. They vacuum the rug, mow the lawn, dispose of bombs, even perform surgery-but they aren't good conversationalists. It's difficult to ...
How to Grow a Robot: Developing Human-Friendly, Social AI
How to develop robots that will be more like humans and less like computers, more social than machine-like, and more playful and less programmed. Most robots are not very friendly. They vacuum the rug, mow the lawn, dispose of bombs, even perform surgery-but they aren't good conversationalists. It's difficult to make eye contact. If the future promises more human-robot collaboration in both work and play, wouldn't it be better if the robots were less mechanical and more social? In [How to Grow a Robot?], Mark Lee explores how robots can be more human-like, friendly, and engaging. Developments in artificial intelligence-notably Deep Learning-are widely seen as the foundation on which our robot future will be built. These advances have already brought us self-driving cars and chess match-winning algorithms. But, Lee writes, we need robots that are perceptive, animated, and responsive-more like humans and less like computers, more social than machine-like, and more playful and less programmed. The way to achieve this, he argues, is to grow a robot so that it learns from experience-just as infants do. After describing what's wrong with artificial intelligence (one key shortcoming: it's not embodied), Lee presents a different approach to building human-like robots: developmental robotics, inspired by developmental psychology and its accounts of early infant behavior. He describes his own experiments with the iCub humanoid robot and its development from newborn helplessness to ability levels equal to a nine-month-old, explaining how the iCub learns from its own experiences. AI robots are designed to know humans as objects; developmental robots will learn empathy. Developmental robots, with an internal model of self, will be better interactive partners with humans. That is the kind of future technology we should work toward.
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31.450000 USD

How to Grow a Robot: Developing Human-Friendly, Social AI

by Mark H Lee
Hardback
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Should digital technology be viewed as a new life form, sharing our ecosystem and coevolving with us? Are humans defining technology, or is technology defining humans? Richard Dawkins famously said that a chicken is an egg's way of making another egg. Is a human a computer's way of making another ...
The Coevolution: The Entwined Futures of Humans and Machines
Should digital technology be viewed as a new life form, sharing our ecosystem and coevolving with us? Are humans defining technology, or is technology defining humans? Richard Dawkins famously said that a chicken is an egg's way of making another egg. Is a human a computer's way of making another computer? Certainly, digital technology has changed the way we interact with one another, the way we work, and even the way we think. The machines serve as intellectual prostheses, helping us with arithmetic, spelling, and remembering (while also subtly manipulating our thoughts, directing us to click on ads or vote a certain way). Should the software systems that have taken over so much of our lives be viewed as living beings, defined by bits rather than DNA? In this book, Edward Ashford Lee considers whether these living digital beings will threaten humans with annihilation, fuse with them to create cyborgs, or coevolve with them. Lee presents the case for considering digital beings to be living, then offers counterarguments. What we humans do with our minds is more than computation, and what digital systems do-be teleported at the speed of light, backed up, and restored-may never be possible for humans. To believe that we are simply computations, he argues, is a dataist faith and scientifically indefensible. Digital beings depend on humans-and humans depend on digital beings. More likely than a planetary wipe-out of humanity is an ongoing, symbiotic coevolution of culture and technology.
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36.700000 USD

The Coevolution: The Entwined Futures of Humans and Machines

by Edward Ashford Lee
Hardback
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Apply machine learning using the Internet of Things (IoT) in the agriculture, telecom, and energy domains with case studies. This book begins by covering how to set up the software and hardware components including the various sensors to implement the case studies in Python. The case study section starts with ...
IoT Machine Learning Applications in Telecom, Energy, and Agriculture: With Raspberry Pi and Arduino Using Python
Apply machine learning using the Internet of Things (IoT) in the agriculture, telecom, and energy domains with case studies. This book begins by covering how to set up the software and hardware components including the various sensors to implement the case studies in Python. The case study section starts with an examination of call drop with IoT in the telecoms industry, followed by a case study on energy audit and predictive maintenance for an industrial machine, and finally covers techniques to predict cash crop failure in agribusiness. The last section covers pitfalls to avoid while implementing machine learning and IoT in these domains. After reading this book, you will know how IoT and machine learning are used in the example domains and have practical case studies to use and extend. You will be able to create enterprise-scale applications using Raspberry Pi 3 B+ and Arduino Mega 2560 with Python. What You Will Learn Implement machine learning with IoT and solve problems in the telecom, agriculture, and energy sectors with Python Set up and use industrial-grade IoT products, such as Modbus RS485 protocol devices, in practical scenarios Develop solutions for commercial-grade IoT or IIoT projects Implement case studies in machine learning with IoT from scratch Who This Book Is For Raspberry Pi and Arduino enthusiasts and data science and machine learning professionals.
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36.740000 USD

IoT Machine Learning Applications in Telecom, Energy, and Agriculture: With Raspberry Pi and Arduino Using Python

by Puneet Mathur
Paperback / softback
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Originally published in 1988, this was the first book to examine the development, application and evaluation of computer counselling and psychotherapy. Integrating concepts of artificial intelligence and psychotherapy, this book provided extensive research data that compared the human therapist to the computer therapist at the time. This title was intended ...
Computer Psychotherapy Systems: Theory and Research Foundations
Originally published in 1988, this was the first book to examine the development, application and evaluation of computer counselling and psychotherapy. Integrating concepts of artificial intelligence and psychotherapy, this book provided extensive research data that compared the human therapist to the computer therapist at the time. This title was intended for researchers, professionals, and students of psychotherapy and artificial intelligence. By exploring the automation of therapy and the design of empathetic software this book challenges counsellors and computer scientists to look at what may have been the most fascinating topic to arise in their fields for years to come.
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40.900000 USD

Computer Psychotherapy Systems: Theory and Research Foundations

by Morton Wagman
Paperback / softback
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The purpose of this book, originally published in 1987, was to contribute to the advance of artificial intelligence (AI) by clarifying and removing the major sources of philosophical confusion at the time which continued to preoccupy scientists and thereby impede research. Unlike the vast majority of philosophical critiques of AI, ...
Artificial Intelligence: The Case Against
The purpose of this book, originally published in 1987, was to contribute to the advance of artificial intelligence (AI) by clarifying and removing the major sources of philosophical confusion at the time which continued to preoccupy scientists and thereby impede research. Unlike the vast majority of philosophical critiques of AI, however, each of the authors in this volume has made a serious attempt to come to terms with the scientific theories that have been developed, rather than attacking superficial 'straw men' which bear scant resemblance to the complex theories that have been developed. For each is convinced that the philosopher's responsibility is to contribute from his own special intellectual point of view to the progress of such an important field, rather than sitting in lofty judgement dismissing the efforts of their scientific peers. The aim of this book is thus to correct some of the common misunderstandings of its subject. The technical term Artificial Intelligence has created considerable unnecessary confusion because of the ordinary meanings associated with it, and for that very reason, the term is endlessly misused and abused. The essays collected here all aim to expound the true nature of AI, and to remove the ill-conceived philosophical discussions which seek answers to the wrong questions in the wrong ways. Philosophical discussions and decisions about the proper use of AI need to be based on a proper understanding of the manner in which AI-scientists achieve their results; in particular, in their dependence on the initial planning input of human beings. The collection combines the Anglo-Saxon school of analytical philosophy with scientific and psychological methods of investigation. The distinguished authors in this volume represent a cross-section of philosophers, psychologists, and computer scientists from all over the world. The result is a fascinating study in the nature and future of AI, written in a style which is certain to appeal and inform laymen and specialists alike.
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40.900000 USD

Artificial Intelligence: The Case Against

Paperback / softback
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This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including ...
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)
This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.
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293.990000 USD

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)

Hardback
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Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology, economics, linguistics, sociology, and computer science, among others. What has been missing is a relatively short ...
Essentials of Game Theory: A Concise Multidisciplinary Introduction
Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology, economics, linguistics, sociology, and computer science, among others. What has been missing is a relatively short introduction to the field covering the common basis that anyone with a professional interest in game theory is likely to require. Such a text would minimize notation, ruthlessly focus on essentials, and yet not sacrifice rigor. This Synthesis Lecture aims to fill this gap by providing a concise and accessible introduction to the field. It covers the main classes of games, their representations, and the main concepts used to analyze them.
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36.750000 USD

Essentials of Game Theory: A Concise Multidisciplinary Introduction

by Yoav Shoham, Kevin Leyton-Brown
Paperback / softback
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A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Most tasks require a person or an automated system to reason-to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this ...
Probabilistic Graphical Models: Principles and Techniques
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Most tasks require a person or an automated system to reason-to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.
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131.250000 USD

Probabilistic Graphical Models: Principles and Techniques

by Nir Friedman, Daphne Koller
Hardback
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Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine ...
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise.
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89.25 USD

Data Mining: Practical Machine Learning Tools and Techniques

Paperback / softback
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