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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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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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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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How do you apply graph thinking to solve complex problems? With this practical guide, data scientists will learn how to think about data as a graph and determine if graph technology is right for your company. You'll learn techniques for building scalable, real-time, and multimodel architectures that solve complex problems ...
The Practitioner's Guide to Graph Data
How do you apply graph thinking to solve complex problems? With this practical guide, data scientists will learn how to think about data as a graph and determine if graph technology is right for your company. You'll learn techniques for building scalable, real-time, and multimodel architectures that solve complex problems with graph data. Authors Denise Koessler Gosnell and Matthias Broecheler show you how companies today are successfully applying graph thinking in distributed production environments. You'll also learn the Graph Schema Language, a set of terminology and visual illustrations to normalize how graph practitioners communicate conceptual graph models, graph schema, and graph database design.
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73.490000 USD

The Practitioner's Guide to Graph Data

by Matthias Broecheler, Denise Gosnell
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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This book presents machine learning as a set of pre-requisites, co-requisites, and post-requisites, focusing on mathematical concepts and engineering applications in advanced welding and cutting processes. It describes a number of advanced welding and cutting processes and then assesses the parametrical interdependencies of two entities, namely the data analysis and ...
Welding and Cutting Case Studies with Supervised Machine Learning
This book presents machine learning as a set of pre-requisites, co-requisites, and post-requisites, focusing on mathematical concepts and engineering applications in advanced welding and cutting processes. It describes a number of advanced welding and cutting processes and then assesses the parametrical interdependencies of two entities, namely the data analysis and data visualization techniques, which form the core of machine learning. Subsequently, it discusses supervised learning, highlighting Python libraries such as NumPy, Pandas and Scikit Learn programming. It also includes case studies that employ machine learning for manufacturing processes in the engineering domain. The book not only provides beginners with an introduction to machine learning for applied sciences, enabling them to address global competitiveness and work on real-time technical challenges, it is also a valuable resource for scholars with domain knowledge.
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157.490000 USD

Welding and Cutting Case Studies with Supervised Machine Learning

by Akhil Garg, Xiaodong Niu, Liang Gao, Abhinav Karan, Rajeev Kamal, S. Arungalai Vendan
Hardback
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Traditional cloud computing and the emerging edge computing have greatly promoted the development of Internet applications. But what are the key issues in these two trends and what are the differences between them?This book systematically introduces several key procedures in both cloud computing and edge computing scenarios, with each chapter ...
Network Management in Cloud and Edge Computing
Traditional cloud computing and the emerging edge computing have greatly promoted the development of Internet applications. But what are the key issues in these two trends and what are the differences between them?This book systematically introduces several key procedures in both cloud computing and edge computing scenarios, with each chapter providing a detailed description of novel design. In addition, the book also discusses a series of important findings from industry collaborations, which greatly enhance our understanding of the real system of industry. This book is not only a valuable reference resource for researchers, but also provides large-scale deployment cases for real systems in industry. In order to gain the most benefit from this book, readers should have some the basic knowledge of computer networks.
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146.990000 USD

Network Management in Cloud and Edge Computing

by Ke Xu, Yuchao Zhang
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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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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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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The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster and More Profitable
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29.390000 USD

The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster and More Profitable

by Seth Earley
Hardback
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This book lays bare the logical foundations of tractable reasoning. It draws on Marvin Minsky's seminal work on frames, which has been highly influential in computer science and, to a lesser extent, in cognitive science. Only very few people have explored ideas about frames in logic, which is why the ...
Dynamic Tractable Reasoning: A Modular Approach to Belief Revision
This book lays bare the logical foundations of tractable reasoning. It draws on Marvin Minsky's seminal work on frames, which has been highly influential in computer science and, to a lesser extent, in cognitive science. Only very few people have explored ideas about frames in logic, which is why the investigation in this book is quite innovative. The apparent intractability of dynamic, inferential reasoning is an unsolved problem in both cognitive science and logic-oriented artificial intelligence. It is a major objection to the computational theory of mind and the language-of-thought hypothesis. However, the problem is not bound to these two hypotheses, because as soon as we acknowledge that human minds engage in drawing inferences, we face the problem of computational and cognitive feasibility. By means of a logical investigation of frames and frame concepts, the author devises a novel logic of tractable reasoning, called frame logic. The tractability results about this logic shed new light on our logical and cognitive means to carry out dynamic, inferential reasoning. Modularity remains central for tractability, and so the author sets forth a logical variant of the massive modularity hypothesis in cognitive science.
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94.490000 USD

Dynamic Tractable Reasoning: A Modular Approach to Belief Revision

by Holger Andreas
Hardback
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This book addresses the key security challenges in the big data centric computing and network systems, and discusses how to tackle them using a mix of conventional and state-of-the-art techniques. The incentive for joining big data and advanced analytics is no longer in doubt for businesses and ordinary users alike. ...
Combating Security Challenges in the Age of Big Data: Powered by State-of-the-Art Artificial Intelligence Techniques
This book addresses the key security challenges in the big data centric computing and network systems, and discusses how to tackle them using a mix of conventional and state-of-the-art techniques. The incentive for joining big data and advanced analytics is no longer in doubt for businesses and ordinary users alike. Technology giants like Google, Microsoft, Amazon, Facebook, Apple, and companies like Uber, Airbnb, NVIDIA, Expedia, and so forth are continuing to explore new ways to collect and analyze big data to provide their customers with interactive services and new experiences. With any discussion of big data, security is not, however, far behind. Large scale data breaches and privacy leaks at governmental and financial institutions, social platforms, power grids, and so forth, are on the rise that cost billions of dollars. The book explains how the security needs and implementations are inherently different at different stages of the big data centric system, namely at the point of big data sensing and collection, delivery over existing networks, and analytics at the data centers. Thus, the book sheds light on how conventional security provisioning techniques like authentication and encryption need to scale well with all the stages of the big data centric system to effectively combat security threats and vulnerabilities. The book also uncovers the state-of-the-art technologies like deep learning and blockchain which can dramatically change the security landscape in the big data era.
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167.990000 USD

Combating Security Challenges in the Age of Big Data: Powered by State-of-the-Art Artificial Intelligence Techniques

Hardback
Book cover image
This book studies the symbiosis between humans, machines and nature, including the rules and emerging patterns of recognition, and the integration and optimization of various flows through cyberspace, physical space and social space. It unveils a reciprocal human-machine-nature symbiotic mechanism together with relevant rules on structuring and evolving the reality, ...
Cyber-Physical-Social Intelligence: On Human-Machine-Nature Symbiosis
This book studies the symbiosis between humans, machines and nature, including the rules and emerging patterns of recognition, and the integration and optimization of various flows through cyberspace, physical space and social space. It unveils a reciprocal human-machine-nature symbiotic mechanism together with relevant rules on structuring and evolving the reality, and also proposes a multi-dimensional space for modelling the reality and managing the methodologies for exploring the reality. As such it makes a fundamental contribution to the creation and development of the research area cyber-physical-social intelligence, inspiring researchers and university students to explore the next-generation artificial intelligence and scientific methodology. It is suitable for readers with a basic understanding of computers and the natural sciences. Next-generation artificial intelligence will extend machine and human intelligence to cyber-physical-social intelligence rendered by various interactions in cyberspace, physical space, and social space. With the transformational development of science and society, a multi-dimensional reality is emerging and evolving, leading to the generation and development of various spaces obeying different principles. A fundamental scientific problem is identifying the essential mechanism that structures and develops the reality emerging and evolving along various dimensions. Solving this problem requires the basic relations between humans, machines and reality to be identified and cyber-physical-social principles to be unveiled.
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157.490000 USD

Cyber-Physical-Social Intelligence: On Human-Machine-Nature Symbiosis

by Hai Zhuge
Paperback / softback
Book cover image
A pioneering researcher offers a sweeping account of vision and the clues it holds to some of neuroscience's biggest mysteries Spotting a face in a crowd is so easy, you take it for granted. But how you do it is one of science's great mysteries. And vision is involved in ...
We Know It When We See It: What the Neurobiology of Vision Tells Us about How We Think
A pioneering researcher offers a sweeping account of vision and the clues it holds to some of neuroscience's biggest mysteries Spotting a face in a crowd is so easy, you take it for granted. But how you do it is one of science's great mysteries. And vision is involved in nearly one-third of everything a brain does. Explaining how it works reveals more than just how you see. In We Know It When We See It, Harvard neuroscientist Richard Masland tackles vital questions about how the brain processes information -- how it perceives, learns, and remembers -- through a careful study of the inner life of the eye. Covering everything from what happens when light hits your retina, to the increasingly sophisticated nerve nets that turn that light into knowledge, to what a computer algorithm must be able to do before it can be called truly intelligent, We Know It When We See It is a profound yet approachable investigation into how our bodies make sense of the world.
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29.400000 USD

We Know It When We See It: What the Neurobiology of Vision Tells Us about How We Think

by Richard Masland
Hardback
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The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine ...
Machine Learning Applications: Emerging Trends
The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.
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120.740000 USD

Machine Learning Applications: Emerging Trends

Hardback
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You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't have to be that hard. Master ...
Programming Machine Learning
You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't have to be that hard. Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system. Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty. Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning. Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work. Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on. Iterate on your design, and add layers of complexity as you go. Build an image recognition application from scratch with supervised learning. Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning. Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets. Train and refine those networks with backpropagation and batching. Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system. Start from the beginning and code your way to machine learning mastery. What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly. Apart from that, you'll only need your computer, and your code-adept brain.
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50.350000 USD

Programming Machine Learning

by Paolo Perrotta
Paperback / softback
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Learn the skills necessary to design, build, and deploy applications powered by machine learning. Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers with little or no ML experience will learn the tools, ...
Building Machine Learning Powered Applications: Going from Idea to Product
Learn the skills necessary to design, build, and deploy applications powered by machine learning. Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers with little or no ML experience will learn the tools, best practices, and challenges involved in building a real-world ML application step-by-step. Author Emmanuel Ameisen, who worked as a data scientist at Zipcar and led Insight Data Science's AI program, demonstrates key ML concepts with code snippets, illustrations, and screenshots from the book's example application. The first part of this guide shows you how to plan and measure success for an ML application. Part II shows you how to build a working ML model, and Part III explains how to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you: Determine your product goal and set up a machine learning problem Build your first end-to-end pipeline quickly and acquire an initial dataset Train and evaluate your ML model and address performance bottlenecks Deploy and monitor models in a production environment
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89.25 USD

Building Machine Learning Powered Applications: Going from Idea to Product

by Emmanuel Ameisen
Paperback / softback
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Today, machine learning offers software professionals unparalleled opportunity for career growth. In Introducing Machine Learning, best-selling software development author, trainer, and consultant Dino Esposito offers a complete introduction to the field for programmers, architects, lead developers, and managers alike. Esposito begins by illuminating what's known about how humans and machines ...
Introducing Machine Learning
Today, machine learning offers software professionals unparalleled opportunity for career growth. In Introducing Machine Learning, best-selling software development author, trainer, and consultant Dino Esposito offers a complete introduction to the field for programmers, architects, lead developers, and managers alike. Esposito begins by illuminating what's known about how humans and machines learn, introducing the most important classes of machine learning algorithms, and explaining what each of them can do. Esposito demystifies key concepts ranging from neural networks to supervised and unsupervised learning. Next, he explains each step needed to build a successful machine learning solution, from collecting and fine-tuning source data to building and testing your solution. Then, building on these essentials, he guides you through constructing two complete solutions with ML.NET, Microsoft's powerful open source and cross-platform machine learning framework. Step by step, you'll create systems for performing sentiment analysis on social feeds, and analyzing traffic to predict accidents. By the time you're finished, you'll be ready to participate in data science projects and build working solutions of your own.
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41.990000 USD

Introducing Machine Learning

by Francesco Esposito, Dino Esposito
Paperback / softback
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A clear-eyed look at how AI can complement (rather than eliminate) human jobs, with real-world examples from companies that range from Netflix to Walmart. Descriptions of AI's possible effects on businesses and their employees cycle between utopian hype and alarmist doomsaying. This book from MIT Sloan Management Review avoids both ...
How AI Is Transforming the Organization
A clear-eyed look at how AI can complement (rather than eliminate) human jobs, with real-world examples from companies that range from Netflix to Walmart. Descriptions of AI's possible effects on businesses and their employees cycle between utopian hype and alarmist doomsaying. This book from MIT Sloan Management Review avoids both these extremes, providing instead a clear-eyed look at how AI can complement (rather than eliminate) human jobs, with real-world examples from companies that range from Netflix to Walmart. The contributors show that organizations can create business value with AI by cooperating with it rather than relinquishing control to it. The smartest companies know that they don't need AI that mimics humans because they already have access to resources with human capability-actual humans. The book acknowledges the prominent role of such leading technology companies as Facebook, Apple, Amazon, Netflix, and Google in applying AI to their businesses, but it goes beyond the FAANG cohort to look at AI applications in many nontechnology companies, including DHL and Fidelity. The chapters address such topics as retraining workers (who may be more ready for change than their companies are); the importance of motivated and knowledgeable leaders; the danger that AI will entrench less-than-ideal legacy processes; ways that AI could promote gender equality and diversity; AI and the global loneliness epidemic; and the benefits of robot-human collaboration. Contributors Cynthia M. Beath, Megan Beck, Joe Biron, Erik Brynjolfsson, Jacques Bughin, Rumman Chowdhury, Paul R. Daugherty, Thomas H. Davenport, Chris DeBrusk, Berkeley J. Dietvorst, Janet Foutty, James R. Freeland, R. Edward Freeman, Julian Friedland, Lynda Gratton, Francis Hintermann, Vivek Katyal, David Kiron, Frieda Klotz, Jonathan Lang, Barry Libert, Paul Michelman, Daniel Rock, Sam Ransbotham, Jeanne W. Ross, Eva Sage-Gavin, Chad Syverson, Monideepa Tarafdar, Gregory Unruh, Madhu Vazirani, H. James Wilson
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37.19 USD

How AI Is Transforming the Organization

by MIT Sloan Management Review
Paperback / softback
Book cover image
The 21st century is on the verge of a possible total economic and political revolution. Technological advances in robotics, computing and digital communications have the potential to completely transform how people live and work. Even more radically, humans will soon be interacting with artificial intelligence (A.I.) as a normal and ...
Identity, Institutions and Governance in an AI World: Transhuman Relations
The 21st century is on the verge of a possible total economic and political revolution. Technological advances in robotics, computing and digital communications have the potential to completely transform how people live and work. Even more radically, humans will soon be interacting with artificial intelligence (A.I.) as a normal and essential part of their daily existence. What is needed now more than ever is to rethink social relations to meet the challenges of this soon-to-arrive smart world. This book proposes an original theory of trans-human relations for this coming future. Drawing on insights from organisational studies, critical theory, psychology and futurism - it will chart for readers the coming changes to identity, institutions and governance in a world populated by intelligent human and non-human actors alike. It will be characterised by a fresh emphasis on infusing programming with values of social justice, protecting the rights and views of all forms of consciousness and creating the structures and practices necessary for encouraging a culture of mutual intelligent design . To do so means moving beyond our anthropocentric worldview of today and expanding our assumptions about the state of tomorrow's politics, institutions, laws and even everyday existence. Critically such a profound shift demands transcending humanist paradigms of a world created for and by humans and instead opening ourselves to a new reality where non-human intelligence and cyborgs are increasingly central.
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78.740000 USD

Identity, Institutions and Governance in an AI World: Transhuman Relations

by Peter Bloom
Hardback
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