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TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0
by Tony HoldroydPerform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks. Key Features Train your own models for effective prediction, using high-level Keras API Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks Get acquainted with some new practices introduced in TensorFlow 2.0 Alpha Book Description TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks. After giving you an overview of what's new in TensorFlow 2.0 Alpha, the book moves on to setting up your machine learning environment using the TensorFlow library. You will perform popular supervised machine learning tasks using techniques such as linear regression, logistic regression, and clustering. You will get familiar with unsupervised learning for autoencoder applications. The book will also show you how to train effective neural networks using straightforward examples in a variety of different domains. By the end of the book, you will have been exposed to a large variety of machine learning and neural network TensorFlow techniques. What you will learn Use tf.Keras for fast prototyping, building, and training deep learning neural network models Easily convert your TensorFlow 1.12 applications to TensorFlow 2.0-compatible files Use TensorFlow to tackle traditional supervised and unsupervised machine learning applications Understand image recognition techniques using TensorFlow Perform neural style transfer for image hybridization using a neural network Code a recurrent neural network in TensorFlow to perform text-style generation Who this book is for Data scientists, machine learning developers, and deep learning enthusiasts looking to quickly get started with TensorFlow 2 will find this book useful. Some Python programming experience with version 3.6 or later, along with a familiarity with Jupyter notebooks will be an added advantage. Exposure to machine learning and neural network techniques would also be helpful.
TensorFlow Reinforcement Learning Quick Start Guide: Get up and running with training and deploying intelligent, self-learning agents using Python
by Kaushik BalakrishnanLeverage the power of Tensorflow to Create powerful software agents that can self-learn to perform real-world tasks Key Features Explore efficient Reinforcement Learning algorithms and code them using TensorFlow and Python Train Reinforcement Learning agents for problems, ranging from computer games to autonomous driving. Formulate and devise selective algorithms and techniques in your applications in no time. Book Description Advances in reinforcement learning algorithms have made it possible to use them for optimal control in several different industrial applications. With this book, you will apply Reinforcement Learning to a range of problems, from computer games to autonomous driving. The book starts by introducing you to essential Reinforcement Learning concepts such as agents, environments, rewards, and advantage functions. You will also master the distinctions between on-policy and off-policy algorithms, as well as model-free and model-based algorithms. You will also learn about several Reinforcement Learning algorithms, such as SARSA, Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG), Asynchronous Advantage Actor-Critic (A3C), Trust Region Policy Optimization (TRPO), and Proximal Policy Optimization (PPO). The book will also show you how to code these algorithms in TensorFlow and Python and apply them to solve computer games from OpenAI Gym. Finally, you will also learn how to train a car to drive autonomously in the Torcs racing car simulator. By the end of the book, you will be able to design, build, train, and evaluate feed-forward neural networks and convolutional neural networks. You will also have mastered coding state-of-the-art algorithms and also training agents for various control problems. What you will learn Understand the theory and concepts behind modern Reinforcement Learning algorithms Code state-of-the-art Reinforcement Learning algorithms with discrete or continuous actions Develop Reinforcement Learning algorithms and apply them to training agents to play computer games Explore DQN, DDQN, and Dueling architectures to play Atari's Breakout using TensorFlow Use A3C to play CartPole and LunarLander Train an agent to drive a car autonomously in a simulator Who this book is for Data scientists and AI developers who wish to quickly get started with training effective reinforcement learning models in TensorFlow will find this book very useful. Prior knowledge of machine learning and deep learning concepts (as well as exposure to Python programming) will be useful.
Terminologie: Zum 25-jährigen Bestehen des Rats für Deutschsprachige Terminologie (Kommunikation und Medienmanagement)
by Petra Drewer Donatella PulitanoAlle, die sich mit fachsprachlichen Texten beschäftigen, beschäftigen sich automatisch auch mit Terminologie: Beim Lesen von Fachtexten nehmen sie die darin enthaltene Terminologie auf, beim Verfassen von Fachtexten verwenden oder produzieren sie Terminologie, beim Fachübersetzen übertragen sie Terminologie in andere Sprachen.Im Laufe der Zeit haben sich Methoden und Verfahren entwickelt, wie man professionell und effizient mit Terminologie arbeitet. Die Auseinandersetzung mit den Grundsätzen der Terminologiearbeit hat sich zu einer wissenschaftlichen Disziplin entwickelt.Der Rat für Deutschsprachige Terminologie (RaDT) wurde 1994 als Initiative der UNESCO-Kommissionen Deutschlands, Österreichs und der Schweiz gegründet, um terminologische Aktivitäten zu fördern. Zu seinem 25-jährigen Bestehen erscheint nun dieser Sammelband, der einen Überblick über das vielfältige Schaffen und das gesamte Themenspektrum der RaDT-Mitglieder bietet.Um die verschiedenen Perspektiven innerhalb der RaDT-Gemeinschaft angemessen wiederzugeben, umfasst der Band vier Themenbereiche:1. Vielfalt an Epochen2. Vielfalt an Schwerpunkten3. Vielfalt an Umsetzungen (in öffentlichen Institutionen)4. Vielfalt an Umsetzungen (in der Privatwirtschaft)Dieser Sammelband richtet sich an alle, die sich mit Terminologie, Terminologiewissenschaft oder Terminologiearbeit befassen, insbesondere in Unternehmensbereichen wie Sprachmanagement, Terminologiemanagement, Corporate Language, Wissensmanagement, sowie an Studierende und Wissenschaftler in den entsprechenden Disziplinen.
Terraform: Writing Infrastructure as Code
by Yevgeniy BrikmanTerraform has become a key player in the DevOps world for defining, launching, and managing infrastructure as code (IaC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, Azure, and more. This hands-on second edition, expanded and thoroughly updated for Terraform version 0.12 and beyond, shows you the fastest way to get up and running.Gruntwork cofounder Yevgeniy (Jim) Brikman walks you through code examples that demonstrate Terraform’s simple, declarative programming language for deploying and managing infrastructure with a few commands. Veteran sysadmins, DevOps engineers, and novice developers will quickly go from Terraform basics to running a full stack that can support a massive amount of traffic and a large team of developers.Explore changes from Terraform 0.9 through 0.12, including backends, workspaces, and first-class expressionsLearn how to write production-grade Terraform modulesDive into manual and automated testing for Terraform codeCompare Terraform to Chef, Puppet, Ansible, CloudFormation, and Salt StackDeploy server clusters, load balancers, and databasesUse Terraform to manage the state of your infrastructureCreate reusable infrastructure with Terraform modulesUse advanced Terraform syntax to achieve zero-downtime deployment
Terrorism and State Surveillance of Communications
by David Lowe Simon Hale-RossThis book brings together leading counterterrorism experts, from academia and practice, to form an interdisciplinary assessment of the terrorist threat facing the United Kingdom and the European Union, focusing on how terrorists and terrorist organisations communicate in the digital age. Perspectives drawn from criminological, legalistic, and political sciences, allow the book to highlight the problems faced by the state and law enforcement agencies in monitoring, accessing, and gathering intelligence from the terrorist use of electronic communications, and how such powers are used proportionately and balanced with human rights law. The book will be a valuable resource for scholars and students of terrorism and security, policing and human rights. With contributions from the fields of both academia and practice, it will also be of interest to professionals and practitioners working in the areas of criminal law, human rights and terrorism.
Terrorist Use of Cryptocurrencies: Technical and Organizational Barriers and Future Threats
by Cynthia Dion-Schwarz David Manheim Johnston, Patrick B.The success of counterterrorism finance strategies in reducing terrorist access to official currencies has raised concerns that terrorist organizations might increase their use of such digital cryptocurrencies as Bitcoin to support their activities. RAND researchers thus consider the needs of terrorist groups and the advantages and disadvantages of the cryptocurrency technologies available to them.
Test Generation of Crosstalk Delay Faults in VLSI Circuits
by M. C. Bhuvaneswari S. JayanthyThis book describes a variety of test generation algorithms for testing crosstalk delay faults in VLSI circuits. It introduces readers to the various crosstalk effects and describes both deterministic and simulation-based methods for testing crosstalk delay faults. The book begins with a focus on currently available crosstalk delay models, test generation algorithms for delay faults and crosstalk delay faults, before moving on to deterministic algorithms and simulation-based algorithms used to test crosstalk delay faults. Given its depth of coverage, the book will be of interest to design engineers and researchers in the field of VLSI Testing.
Test-Driven React: Find Problems Early, Fix Them Quickly, Code with Confidence
by Trevor BurnhamYou work in a loop: write code, get feedback, iterate. The faster you get feedback, the faster you can learn and become a more effective developer. Test-Driven React helps you refine your React workflow to give you the feedback you need as quickly as possible. Write strong tests and run them continuously as you work, split complex code up into manageable pieces, and stay focused on what's important by automating away mundane, trivial tasks. Adopt these techniques and you'll be able to avoid productivity traps and start building React components at a stunning pace!
Testbeds and Research Infrastructures for the Development of Networks and Communities: 13th EAI International Conference, TridentCom 2018, Shanghai, China, December 1-3, 2018, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #270)
by Honghao Gao Yuyu Yin Xiaoxian Yang Huaikou MiaoThis book constitutes the refereed post-conference proceedings of the 13th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communications, TridentCom 2018, held in November 2018 in Shanghai, China. The 10 full papers were selected from 29 submissions and are grouped into three sessions: wireless and testbed application; uncertainty analytics and formal verification; knowledge graph.
Testing Microservices with Mountebank
by Brandon ByarsSummaryTesting Microservices with Mountebank is your guide to the ins and outs of testing microservices with service virtualization. The book offers unique insights into microservices application design and state-of-the-art testing practices that will deepen your microservices skills and improve your applications.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyEven if you lab test each service in isolation, it's challenging—and potentially dangerous—to test a live microservices system that's changing and growing. Fortunately, you can use Mountebank to "imitate" the components of a distributed microservices application to give you a good approximation of the runtime conditions as you test individual services.About the BookTesting Microservices with Mountebank introduces the powerful practice of service virtualization. In it, author Brandon Byars, Mountebank's creator, offers unique insights into microservices application design and state-of-the-art testing practices. You'll expand your understanding of microservices as you work with Mountebank's imposters, responses, behaviors, and programmability. By mastering the powerful testing techniques in this unique book, your microservices skills will deepen and your applications will improve. For real.What's insideThe core concepts of service virtualizationTesting using canned responsesProgramming MountebankPerformance testingAbout the ReaderWritten for developers familiar with SOA or microservices systems.About the AuthorBrandon Byars is the author and chief maintainer of Mountebank and a principal consultant at ThoughtWorks.Table of ContentsPART 1 - FIRST STEPSTesting microservicesTaking mountebank for a test drivePART 2 - USING MOUNTEBANKTesting using canned responsesUsing predicates to send different responsesAdding record/replay behaviorProgramming mountebankAdding behaviorsProtocolsPART 3 - CLOSING THE LOOPMountebank and continuous deliveryPerformance testing with mountebank
Testing Software and Systems: 31st IFIP WG 6.1 International Conference, ICTSS 2019, Paris, France, October 15–17, 2019, Proceedings (Lecture Notes in Computer Science #11812)
by Nikolai Kosmatov Christophe Gaston Pascale Le GallThis book constitutes the refereed proceedings of the 31st IFIP WG 6.1 International Conference on Testing Software and Systems, ICTSS 2019, held in Paris, France, in October 2019. The 14 regular papers and 3 short papers presented were carefully reviewed and selected from 30 submissions. This year also included an additional industrial paper. ICTSS is a series of international conferences addressing the conceptual, theoretic, and practical problems of testing software systems, including communication protocols, services, distributed platforms, middleware, embedded and cyber-physical systems, and security infrastructures.
Testing Vue.js Components with Jest: A concise guide to testing Vue.js components using Jest and the official Vue Test Utils library
by Alex Jover MoralesUnit test your Vue.js components with this fully-featured JavaScript testing framework Key Features Understand the various testing styles and their purpose Gain insight into how to test methods by avoiding dependencies Explore snapshot testing and its applications Book Description Unit testing in modern component-based JavaScript frameworks is not straightforward. You need a test suite that is reliable and runs quickly. Components are connected to one another, and the browser adds a layer of UI, which makes everything inter-dependent while we test components in isolation. Jest is a fully-featured JavaScript testing framework that will do all your work for you. This book shows you how to test Vue.js components easily and take advantage of the fully-featured Jest testing framework with the aid of practical examples. You'll learn the different testing styles and their structures. You'll also explore how your Vue.js components respond to various tests. You'll see how to apply techniques such as snapshot testing, shallow rendering, module dependency mocking, and module aliasing to make your tests smooth and clean. By the end of this book, you'll know all about testing your components by utilizing the features of Jest. What you will learn Set up a Vue-test project to get started with Jest Unit test your components using techniques such as shallow rendering Gain insights into how to test the reactive parts in the logic of the Vue.js components Explore how to test deeply rendered Vue.js components Perform easy and quick tests with module dependency mocking, module aliasing, and more Know-how and when to use snapshot testing Who this book is for If you are a programmer looking to make your development process smooth and bug-free, this is an ideal book for you. Prior knowledge and experience of JavaScript will help you quickly and easily grasp the concepts explained in this book.
Testmanagement in der Praxis
by Oliver Droste Christina MerzDieses Praxisbuch soll ein Handwerkszeug für Testmanager von Software-Implementierungsprojekten sein. Es richtet sich zudem an Projektleiter und alle, die sich mit dem Thema Testmanagement auseinandersetzen wollen oder müssen. Die Autoren haben oft festgestellt, dass in Projekten viele Vorgaben zum Testmanagement existieren, die praxisfern sind und zudem nur mit viel bürokratischem Aufwand umgesetzt werden können. Die Energie wird so oftmals in die Umsetzung eines komplexen Rahmenwerks gesteckt, ohne einen quantifizierbaren Nutzen zu stiften.Hier setzt dieses Buch an. Mit Fokussierung auf das Wesentliche, was für eine erfolgreiche Umsetzung eines Testvorhabens relevant ist, soll es auch als Sparringspartner dienen und dem Testmanager bei seiner Standortbestimmung Hilfe und Unterstützung geben sowie Denkanstöße auslösen.Der Aufbau dieses Buches orientiert sich am Lebenszyklus eines klassischen Projektes (V-Modell / Wasserfall-Modell). Der Praxisbezug wird von den Autoren anhand eines fiktiven Projektes hergestellt, welches mit tatsächlichen Erfahrungen ergänzt wird.
Testmanagement und Softwaretest: Theoretische Grundlagen und praktische Umsetzung
by Frank WitteDas Buch gibt konkrete Tipps zur erfolgreichen Umsetzung von Softwaretests und effizientem Testmanagement. Dabei verbindet der Autor theoretische Grundlagen mit betrieblicher Realität zur Anwendung in der Praxis. Er gibt hilfreiche Hinweise, welche Herausforderungen beim Test von Software bestehen, wo es Fallstricke gibt und was zu beachten ist, um sie zu vermeiden.
Tests and Proofs: 13th International Conference, TAP 2019, Held as Part of the Third World Congress on Formal Methods 2019, Porto, Portugal, October 9–11, 2019, Proceedings (Lecture Notes in Computer Science #11823)
by Dirk Beyer Chantal KellerThis book constitutes the refereed proceedings of the 13th International Conference on Tests and Proofs, TAP 2019, held as part of the Third World Congress on Formal Methods 2019, Porto, Portugal, in October 2019. The 10 regular papers and 2 invited paper presented in this volume were carefully reviewed and selected from 19 submissions. The TAP conference promotes research in verification and formal methods that targets the interplay of proofs and testing: the advancement of techniques of each kind and their combination, with the ultimate goal of improving software and system dependability.
Text Analytics with Python: A Practitioner's Guide to Natural Language Processing
by Dipanjan SarkarLeverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP. You’ll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data, including both traditional statistical models and newer deep learning-based embedding models. Improved techniques and new methods around parsing and processing text are discussed as well. Text summarization and topic models have been overhauled so the book showcases how to build, tune, and interpret topic models in the context of an interest dataset on NIPS conference papers. Additionally, the book covers text similarity techniques with a real-world example of movie recommenders, along with sentiment analysis using supervised and unsupervised techniques.There is also a chapter dedicated to semantic analysis where you’ll see how to build your own named entity recognition (NER) system from scratch. While the overall structure of the book remains the same, the entire code base, modules, and chapters has been updated to the latest Python 3.x release.What You'll Learn• Understand NLP and text syntax, semantics and structure• Discover text cleaning and feature engineering• Review text classification and text clustering • Assess text summarization and topic models• Study deep learning for NLPWho This Book Is ForIT professionals, data analysts, developers, linguistic experts, data scientists and engineers and basically anyone with a keen interest in linguistics, analytics and generating insights from textual data.
Text Mining with Machine Learning: Principles and Techniques
by Jan Žižka František Dařena Arnošt SvobodaThis book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts. By analysing various data sets, conclusions which are not normally evident, emerge and can be used for various purposes and applications. The book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step demonstrations of how to reveal the semantic contents in real-world datasets using the popular R-language with its implemented machine learning algorithms. The book is not only aimed at IT specialists, but is meant for a wider audience that needs to process big sets of text documents and has basic knowledge of the subject, e.g. e-mail service providers, online shoppers, librarians, etc. The book starts with an introduction to text-based natural language data processing and its goals and problems. It focuses on machine learning, presenting various algorithms with their use and possibilities, and reviews the positives and negatives. Beginning with the initial data pre-processing, a reader can follow the steps provided in the R-language including the subsuming of various available plug-ins into the resulting software tool. A big advantage is that R also contains many libraries implementing machine learning algorithms, so a reader can concentrate on the principal target without the need to implement the details of the algorithms her- or himself. To make sense of the results, the book also provides explanations of the algorithms, which supports the final evaluation and interpretation of the results. The examples are demonstrated using realworld data from commonly accessible Internet sources.
Text Mining: Concepts, Implementation, and Big Data Challenge (Studies in Big Data #45)
by Taeho JoThis book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text preprocessing techniques and then goes on to provide concepts, the techniques, the implementation, and the evaluation of text categorization. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management.
Text, Speech, and Dialogue: 22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11–13, 2019, Proceedings (Lecture Notes in Computer Science #11697)
by Kamil EkšteinThis book constitutes the proceedings of the 22nd International Conference on Text, Speech, and Dialogue, TSD 2019, held in Ljubljana, Slovenia, in September 2019. The 33 full papers presented in this volume were carefully reviewed and selected from 73 submissions. They were organized in topical sections named text and speech. The book also contains one invited talk in full paper length.
The 2018 Yearbook of the Digital Ethics Lab (Digital Ethics Lab Yearbook #1)
by David Watson Carl ÖhmanThis book explores a wide range of topics in digital ethics. It features 11 chapters that analyze the opportunities and the ethical challenges posed by digital innovation, delineate new approaches to solve them, and offer concrete guidance to harness the potential for good of digital technologies. The contributors are all members of the Digital Ethics Lab (the DELab), a research environment that draws on a wide range of academic traditions.The chapters highlight the inherently multidisciplinary nature of the subject, which cannot be separated from the epistemological foundations of the technologies themselves or the political implications of the requisite reforms. Coverage illustrates the importance of expert knowledge in the project of designing new reforms and political systems for the digital age. The contributions also show how this task requires a deep self-understanding of who we are as individuals and as a species.The questions raised here have ancient -- perhaps even timeless -- roots. The phenomena they address may be new. But, the contributors examine the fundamental concepts that undergird them: good and evil, justice and truth. Indeed, every epoch has its great challenges. The role of philosophy must be to redefine the meaning of these concepts in light of the particular challenges it faces. This is true also for the digital age. This book takes an important step towards redefining and re-implementing fundamental ethical concepts to this new era.
The AI Does Not Hate You: Superintelligence, Rationality and the Race to Save the World
by Tom Chivers'A fascinating and delightfully written book about some very smart people who may not, or may, be about to transform humanity forever' JON RONSONThis is a book about AI and AI risk. But it's also more importantly about a community of people who are trying to think rationally about intelligence, and the places that these thoughts are taking them, and what insight they can and can't give us about the future of the human race over the next few years. It explains why these people are worried, why they might be right, and why they might be wrong. It is a book about the cutting edge of our thinking on intelligence and rationality right now by the people who stay up all night worrying about it.Along the way, we discover why we probably don't need to worry about a future AI resurrecting a perfect copy of our minds and torturing us for not inventing it sooner, but we perhaps should be concerned about paperclips destroying life as we know it; how Mickey Mouse can teach us an important lesson about how to program AI; and how a more rational approach to life could be what saves us all.
The AI Economy: Work, Wealth and Welfare in the Robot Age
by Roger Bootle'A well-researched, enjoyable and thoughtful book'. - Calum Chace, ForbesExtraordinary innovations in technology promise to transform the world, but how realistic is the claim that AI will change our lives? In this much needed book the acclaimed economist Roger Bootle responds to the fascinating economic questions posed by the age of the robot, steering a path away from tech jargon and alarmism towards a rational explanation of the ways in which the AI revolution will affect us all. Tackling the implications of Artificial Intelligence on growth, productivity, inflation and the distribution of wealth and power, THE AI ECONOMY also examines coming changes to the the way we educate, work and spend our leisure time.A fundamentally optimistic view which will help you plan for changing times, this book explains AI and leads you towards a more certain future.
The Advanced Game Narrative Toolbox
by Tobias HeussnerThe Advanced Game Narrative Toolbox continues where the Game Narrative Toolbox ended. While the later covered the basics of writing for games, the Advanced Game Narrative Toolbox will cover techniques for the intermediate and professional writer. The book will cover topics such as how to adapt a novel to a game, how to revive IPs and how to construct transmedia worlds. Each chapter will be written by a professional with exceptional experience in the field of the chapter. Key Features Learn from industry experts how to tackle today’s challenges in storytelling for games. A learn by example and exercise approach, which was praised in the Game Narrative Toolbox. An in depth view on advanced storytelling techniques and topics as they are currently discussed and used in the gaming industry. Expand your knowledge in game writing as you learn and try yourself to design quests, write romances and build worlds as you would as a writer in a game studio. Improve your own stories by learning and trying the techniques used by the professionals of game writing.
The Advanced Roblox Coding Book: Learn How to Script Games, Code Objects and Settings, and Create Your Own World! (Unofficial Roblox)
by Heath HaskinsClear and easy-to follow instructions for using coding and scripting tools to create new, more advanced Roblox games.Take your game design to the next level, with this complete guide to Roblox coding and scripting! Learn how to code using the programing language Lua to create new objects and games in the Roblox world: from teleporting objects (or PCs/NPCs!), to adding and applying power ups, to creating a leaderboard, and allowing players to save their games. This book walks you through the basics of the studio tool, provides tutorials for specific actions and creations, then explains how to use all of that knowledge to create your own unique game world! With detailed instructions, example screenshots, and simple explanations of what code to use and how to use it, this book is a must-have guide for any Roblox game designer—from beginners to expert coders!
The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power
by Shoshana ZuboffThe challenges to humanity posed by the digital future, the first detailed examination of the unprecedented form of power called "surveillance capitalism," and the quest by powerful corporations to predict and control our behavior. <P><P>Shoshana Zuboff's interdisciplinary breadth and depth enable her to come to grips with the social, political, business, and technological meaning of the changes taking place in our time. We are at a critical juncture in the confrontation between the vast power of giant high-tech companies and government, the hidden economic logic of surveillance capitalism, and the propaganda of machine supremacy that threaten to shape and control human life. <P><P>Will the brazen new methods of social engineering and behavior modification threaten individual autonomy and democratic rights and introduce extreme new forms of social inequality? Or will the promise of the digital age be one of individual empowerment and democratization? <P><P>The Age of Surveillance Capitalism is neither a hand-wringing narrative of danger and decline nor a digital fairy tale. Rather, it offers a deeply reasoned and evocative examination of the contests over the next chapter of capitalism that will decide the meaning of information civilization in the twenty-first century. The stark issue at hand is whether we will be the masters of information and machines or its slaves.