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Welcome to the systems age, where software professionals are no longer building software&emdash;we're building systems of software. Change is continuously deployed across software ecosystems coordinated by responsive infrastructure. In this world of increasing relational complexity, we need to think differently. Many of our challenges are systemic. This book shows you how systems thinking can guide you through the complexity of modern systems. Rather than relying on traditional reductionistic approaches, author Diana Montalion shows you how to expand your skill set so we can think, communicate, and act as healthy systems.Systems thinking is a practice that improves your effectiveness and enables you to lead impactful change. Through a series of practices and real-world scenarios, you'll learn to shift your perspective in order to design, develop, and deliver better outcomes.You'll learn:How linear thinking limits your ability to solve system challengesCommon obstacles to systems thinking and how to move past themNew skills and practices that will transform how you think, learn, and leadMethods for thinking well with others and creating sound recommendationsHow to measure success in the midst of complexity and uncertainty

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bridge the gap between data science and Lean product delivery in a practical and simple way. David Tan, Ada Leung, and Dave Colls show you how to apply time-tested software engineering skills and Lean product delivery practices to reduce toil and waste, shorten feedback loops, and improve your team's flow when building ML systems and products.Based on the authors'experience across multiple real-world data and ML projects, the proven techniques in this book will help your team avoid common traps in the ML world, so you can iterate and scale more quickly and reliably. You'll learn how to overcome friction and experience flow when delivering ML solutions.You'll also learn how to:Write automated tests for ML systems, containerize development environments, and refactor problematic codebasesApply MLOps and CI/CD practices to accelerate experimentation cycles and improve reliability of ML solutionsApply Lean delivery and product practices to improve your odds of building the right product for your usersIdentify suitable team structures and intra- and inter-team collaboration techniques to enable fast flow, reduce cognitive load, and scale ML within your organization

Get a fascinating and disturbing look into how state and nonstate actors throughout the world use cyber attacks to gain military, political, and economic advantages. In the third edition of this book, cyber warfare researcher Jeffrey Caruso explores the latest advances in cyber espionage and warfare that have emerged on the battlefields of Ukraine and the Middle East, including cyber attacks that result in the physical destruction of the target and the pairing of cognitive with maneuver warfare.Inside Cyber Warfare features an exclusive deep dive into the wartime operations of an offensive cyber unit of Ukraine's Ministry of Defense as it works to defend the nation against Russian forces, particularly since the 2022 invasion:See what happened when a Ukrainian cyber and special operations team worked together to destroy a secret missile laboratoryExplore the legal status of cyber warfare and civilian hackersDiscover how a cyber team with little money and limited resources learned to create fire from the manipulation of code in automated systemsDistinguish reality from fiction regarding AI safety and existential riskLearn new strategies for keeping you and your loved ones safe in an increasingly complex and insecure world

While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company. Applied Machine Learning and AI for Engineers provides examples and illustrations from the AI and ML course Prosise teaches at companies and research institutions worldwide. There's no fluff and no scary equations—just a fast start for engineers and software developers, complete with hands-on examples. This book helps you: Learn what machine learning and deep learning are and what they can accomplishUnderstand how popular learning algorithms work and when to apply themBuild machine learning models in Python with Scikit-Learn, and neural networks with Keras and TensorFlowTrain and score regression models and binary and multiclass classification modelsBuild facial recognition models and object detection modelsBuild language models that respond to natural-language queries and translate text to other languagesUse Cognitive Services to infuse AI into the apps that you write

AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today.Explore the options for implementing ML and AI on mobile devicesCreate ML models for iOS and AndroidWrite ML Kit and TensorFlow Lite apps for iOS and Android, and Core ML/Create ML apps for iOSChoose the best techniques and tools for your use case, such as cloud-based versus on-device inference and high-level versus low-level APIsLearn privacy and ethics best practices for ML on devices

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code.You'll learn:How to build models with TensorFlow using skills that employers desireThe basics of machine learning by working with code samplesHow to implement computer vision, including feature detection in imagesHow to use NLP to tokenize and sequence words and sentencesMethods for embedding models in Android and iOSHow to serve models over the web and in the cloud with TensorFlow Serving

While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a battle-tested end-to-end method to help you translate business decisions into tractable prescriptive solutions using data and AI as fundamental inputs.Author Daniel Vaughan shows data scientists, analytics practitioners, and others interested in using AI to transform their businesses not only how to ask the right questions but also how to generate value using modern AI technologies and decision-making principles. You'll explore several use cases common to many enterprises, complete with examples you can apply when working to solve your own issues.Break business decisions into stages that can be tackled using different skills from the analytical toolboxIdentify and embrace uncertainty in decision making and protect against common human biasesCustomize optimal decisions to different customers using predictive and prescriptive methods and technologiesAsk business questions that create high value through AI- and data-driven technologies

What value does semantic data modeling offer? As an information architect or data science professional, let's say you have an abundance of the right data and the technology to extract business gold—but you still fail. The reason? Bad data semantics.In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You'll learn how to master this craft to increase the usability and value of your data and applications. You'll also explore the pitfalls to avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data.Understand the fundamental concepts, phenomena, and processes related to semantic data modelingExamine the quirks and challenges of semantic data modeling and learn how to effectively leverage the available frameworks and toolsAvoid mistakes and bad practices that can undermine your efforts to create good data modelsLearn about model development dilemmas, including representation, expressiveness and content, development, and governanceOrganize and execute semantic data initiatives in your organization, tackling technical, strategic, and organizational challenges

Augmented Reality (AR) blurs the boundary between the physical and digital worlds. In AR's current exploration phase, innovators are beginning to create compelling and contextually rich applications that enhance a user's everyday experiences. In this book, Dr. Helen Papagiannis—a world-leading expert in the field—introduces you to AR: how it's evolving, where the opportunities are, and where it's headed.If you're a designer, developer, entrepreneur, student, educator, business leader, artist, or simply curious about AR's possibilities, this insightful guide explains how you can become involved with an exciting, fast-moving technology.You'll explore how:Computer vision, machine learning, cameras, sensors, and wearables change the way you see the worldHaptic technology syncs what you see with how something feelsAugmented sound and hearables alter the way you listen to your environmentDigital smell and taste augment the way you share and receive informationNew approaches to storytelling immerse and engage users more deeplyUsers can augment their bodies with electronic textiles, embedded technology, and brain-controlled interfacesHuman avatars can learn our behaviors and act on our behalf

Type inheritance is that phenomenon according to which we can say, for example, that every square is also a rectangle, and so properties that apply to rectangles in general apply to squares in particular. In other words, squares are a subtype of rectangles, and rectangles are a supertype of squares. Recognizing and acting upon such subtype / supertype relationships provides numerous benefits: Certainly it can help in data modeling, and it can also provide for code reuse in applications. For these reasons, many languages, including the standard database language SQL, have long supported such relationships. However, there doesn't seem to be any consensus in the community at large on a formal, rigorous, and abstract model of inheritance. This book proposes such a model, one that enjoys several advantages over other approaches, not the least of which it is that it's fully compatible with the well known relational model of data.Topics the model covers include:Both single and multiple inheritanceScalar, tuple, and relation inheritanceType lattices and union and intersection typesPolymorphism and substitutabilityCompile time and run time bindingAll of these topics are described in detail in the book, with numerous illustrative examples, exercises, and answers. The book also discusses several alternative approaches. In particular, it includes a detailed discussion and analysis of inheritance as supported in the SQL standard.

If you want to attract and retain users in the booming mobile services market, you need a quick-loading app that won't churn through their data plans. The key is to compress multimedia and other data into smaller files, but finding the right method is tricky. This witty book helps you understand how data compression algorithms work—in theory and practice—so you can choose the best solution among all the available compression tools.With tables, diagrams, games, and as little math as possible, authors Colt McAnlis and Aleks Haecky neatly explain the fundamentals. Learn how compressed files are better, cheaper, and faster to distribute and consume, and how they'll give you a competitive edge.Learn why compression has become crucial as data production continues to skyrocketKnow your data, circumstances, and algorithm options when choosing compression toolsExplore variable-length codes, statistical compression, arithmetic numerical coding, dictionary encodings, and context modelingExamine tradeoffs between file size and quality when choosing image compressorsLearn ways to compress client- and server-generated data objectsMeet the inventors and visionaries who created data compression algorithms

No matter what DBMS you are using—Oracle, DB2, SQL Server, MySQL, PostgreSQL—misunderstandings can always arise over the precise meanings of terms, misunderstandings that can have a serious effect on the success of your database projects. For example, here are some common database terms: attribute, BCNF, consistency, denormalization, predicate, repeating group, join dependency. Do you know what they all mean? Are you sure?The New Relational Database Dictionary defines all of these terms and many, many more. Carefully reviewed for clarity, accuracy, and completeness, this book is an authoritative and comprehensive resource for database professionals, with over 1700 entries (many with examples) dealing with issues and concepts arising from the relational model of data. DBAs, database designers, DBMS implementers, application developers, and database professors and students can find the information they need on a daily basis, information that isn't readily available anywhere else.

Information architecture (IA) is far more challenging—and necessary—than ever. With the glut of information available today, anything your organization wants to share should be easy to find, navigate, and understand. But the experience you provide has to be familiar and coherent across multiple interaction channels, from the Web to smartphones, smartwatches, and beyond.To guide you through this broad ecosystem, this popular guide—now in its fourth edition—provides essential concepts, methods, and techniques for digital design that have withstood the test of time. UX designers, product managers, developers, and anyone involved in digital design will learn how to create semantic structures that will help people engage with your message.This book includes:An overview of IA and the problems it solves for creating effective digital products and servicesA deep dive into IA components, including organization, labeling, navigation, search, and metadataProcesses and methods that take you from research to strategy, design, and IA implementation

Free as in Freedom interweaves biographical snapshots of GNU project founder Richard Stallman with the political, social and economic history of the free software movement. It examines Stallman's unique personality and how that personality has been at turns a driving force and a drawback in terms of the movement's overall success.Free as in Freedom examines one man's 20-year attempt to codify and communicate the ethics of 1970s era'hacking'culture in such a way that later generations might easily share and build upon the knowledge of their computing forebears. The book documents Stallman's personal evolution from teenage misfit to prescient adult hacker to political leader and examines how that evolution has shaped the free software movement. Like Alan Greenspan in the financial sector, Richard Stallman has assumed the role of tribal elder within the hacking community, a community that bills itself as anarchic and averse to central leadership or authority. How did this paradox come about? Free as in Freedom provides an answer. It also looks at how the latest twists and turns in the software marketplace have diminished Stallman's leadership role in some areas while augmenting it in others.Finally, Free as in Freedom examines both Stallman and the free software movement from historical viewpoint. Will future generations see Stallman as a genius or crackpot? The answer to that question depends partly on which side of the free software debate the reader currently stands and partly upon the reader's own outlook for the future. 100 years from now, when terms such as'computer,''operating system'and perhaps even'software'itself seem hopelessly quaint, will Richard Stallman's particular vision of freedom still resonate, or will it have taken its place alongside other utopian concepts on the'ash-heap of history?'

People expect effortless, engaging interaction with desktop and web applications, but producing software that generates enjoyable user experiences is much harder than many companies anticipate. With Effective UI, you'll learn proven user-experience strategies that will satisfy your clients and customers, drive business value, and increase brand strength.This book shows you how to capture the collaborative and cooperative spirit among designers, engineers, and management required for building engaging software. You'll also learn valuable methods for maintaining focus throughout the process -- whether you're a product manager who needs a clear roadmap, a developer or designer looking for guidance and advocacy, or a businessperson who wants to understand and manage user-experience software initiatives.Learn how to build software that will:Generate engaging and interactive experiences between consumers and businesses, or between businesspeople and their information systemsAccount for how people work with, think about, and consume informationEstablish a richer means of collaboration and communicationReduce frustration by streamlining complex tasks and creating processes that are more intuitiveDistinguish products, services, and brands to create a competitive advantageCreate scalable systems that adapt to changing user needs and behaviors

Great things don't happen in a vacuum. But creating an environment for creative thinking and innovation can be a daunting challenge. How can you make it happen at your company? The answer may surprise you: gamestorming.This book includes more than 80 games to help you break down barriers, communicate better, and generate new ideas, insights, and strategies. The authors have identified tools and techniques from some of the world's most innovative professionals, whose teams collaborate and make great things happen. This book is the result: a unique collection of games that encourage engagement and creativity while bringing more structure and clarity to the workplace. Find out why -- and how -- with Gamestorming.Overcome conflict and increase engagement with team-oriented gamesImprove collaboration and communication in cross-disciplinary teams with visual-thinking techniquesImprove understanding by role-playing customer and user experiencesGenerate better ideas and more of them, faster than ever beforeShorten meetings and make them more productiveSimulate and explore complex systems, interactions, and dynamicsIdentify a problem's root cause, and find the paths that point toward a solution

'Clear, correct, and deep, this is a welcome addition to discussions of law and computing for anyone -- even lawyers!'-- Lawrence Lessig, Professor of Law at Stanford Law School and founder of the Stanford Center for Internet and SocietyIf you work in information technology, intellectual property is central to your job -- but dealing with the complexities of the legal system can be mind-boggling. This book is for anyone who wants to understand how the legal system deals with intellectual property rights for code and other content. You'll get a clear look at intellectual property issues from a developer's point of view, including practical advice about situations you're likely to encounter.Written by an intellectual property attorney who is also a programmer, Intellectual Property and Open Source helps you understand patents, copyrights, trademarks, trade secrets, and licenses, with special focus on the issues surrounding open source development and the GPL. This book answers questions such as:How do open source and intellectual property work together?What are the most important intellectual property-related issues when starting a business or open source project?How should you handle copyright, licensing and other issues when accepting a patch from another developer?How can you pursue your own ideas while working for someone else?What parts of a patent should be reviewed to see if it applies to your work?When is your idea a trade secret?How can you reverse engineer a product without getting into trouble?What should you think about when choosing an open source license for your project?Most legal sources are too scattered, too arcane, and too hard to read. Intellectual Property and Open Source is a friendly, easy-to-follow overview of the law that programmers, system administrators, graphic designers, and many others will find essential.

Your vacuum comes with one. Even your blender comes with one. But your PC--something that costs a whole lot more and is likely to be used daily and for tasks of far greater importance and complexity--doesn't come with a printed manual. Thankfully, that's not a problem any longer: PCs: The Missing Manual explains everything you need to know about PCs, both inside and out, and how to keep them running smoothly and working the way you want them to work.A complete PC manual for both beginners and power users, PCs: The Missing Manual has something for everyone. PC novices will appreciate the unassuming, straightforward tutorials on PC basics, such as hooking up a monitor, keyboard, mouse, printer, and scanner. Families will enjoy sections on networking several computers to share an Internet connection, sharing one monitor between two PCs, connecting portable media players, and creating a home theater system. Adventurous PC users will like the clear photos explaining how to take your PC apart and replace or upgrade any failing parts; IT professionals will be grateful to have something to hand to their coworkers who need solid, trusted information about using their PC.In PCs: The Missing Manual, bestselling computer author Andy Rathbone delivers simple, reliable advice on the kinds of things PC users confront every day. He shows you how to connect and configure today's must-have devices (including digital cameras, portable music players, digital camcorders, and keychain drives); burn CDs and DVDs; scan and fax documents, and more. His section on the Internet explains how to choose the best Internet Service Provider and web browser for your needs; send email; find information quickly on the Web; share photos online; set up a blog; set up a webcam; access TV and radio through the Internet; and shop safely online. And Rathbone delivers plenty of guidance on keep your privacy and your PC safe by installing firewalls, creating safe passwords, running antivirus software, removing spyware and adware, and backing up important files.

Open source provides the competitive advantage in the Internet Age. According to the August Forrester Report, 56 percent of IT managers interviewed at Global 2,500 companies are already using some type of open source software in their infrastructure and another 6 percent will install it in the next two years. This revolutionary model for collaborative software development is being embraced and studied by many of the biggest players in the high-tech industry, from Sun Microsystems to IBM to Intel.The Cathedral & the Bazaar is a must for anyone who cares about the future of the computer industry or the dynamics of the information economy. Already, billions of dollars have been made and lost based on the ideas in this book. Its conclusions will be studied, debated, and implemented for years to come. According to Bob Young,'This is Eric Raymond's great contribution to the success of the open source revolution, to the adoption of Linux-based operating systems, and to the success of open source users and the companies that supply them.'The interest in open source software development has grown enormously in the past year. This revised and expanded paperback edition includes new material on open source developments in 1999 and 2000. Raymond's clear and effective writing style accurately describing the benefits of open source software has been key to its success. With major vendors creating acceptance for open source within companies, independent vendors will become the open source story in 2001.

The term'peer-to-peer'has come to be applied to networks that expect end users to contribute their own files, computing time, or other resources to some shared project. Even more interesting than the systems'technical underpinnings are their socially disruptive potential: in various ways they return content, choice, and control to ordinary users.While this book is mostly about the technical promise of peer-to-peer, we also talk about its exciting social promise. Communities have been forming on the Internet for a long time, but they have been limited by the flat interactive qualities of email and Network newsgroups. People can exchange recommendations and ideas over these media, but have great difficulty commenting on each other's postings, structuring information, performing searches, or creating summaries. If tools provided ways to organize information intelligently, and if each person could serve up his or her own data and retrieve others'data, the possibilities for collaboration would take off. Peer-to-peer technologies along with metadata could enhance almost any group of people who share an interest--technical, cultural, political, medical, you name it.This book presents the goals that drive the developers of the best-known peer-to-peer systems, the problems they've faced, and the technical solutions they've found. Learn here the essentials of peer-to-peer from leaders of the field:Nelson Minar and Marc Hedlund of target='new'>Popular Power, on a history of peer-to-peerClay Shirky of acceleratorgroup, on where peer-to-peer is likely to be headedTim O'Reilly of O'Reilly & Associates, on redefining the public's perceptionsDan Bricklin, cocreator of Visicalc, on harvesting information from end-usersDavid Anderson of SETI@home, on how SETI@Home created the world's largest computerJeremie Miller of Jabber, on the Internet as a collection of conversationsGene Kan of Gnutella and GoneSilent.com, on lessons from Gnutella for peer-to-peer technologiesAdam Langley of Freenet, on Freenet's present and upcoming architectureAlan Brown of Red Rover, on a deliberately low-tech content distribution systemMarc Waldman, Lorrie Cranor, and Avi Rubin of AT&T Labs, on the Publius project and trust in distributed systemsRoger Dingledine, Michael J. Freedman, andDavid Molnar of Free Haven, on resource allocation and accountability in distributed systemsRael Dornfest of O'Reilly Network and Dan Brickley of ILRT/RDF Web, on metadataTheodore Hong of Freenet, on performanceRichard Lethin of Reputation Technologies, on how reputation can be built online

Fifty years ago, in 1984, George Orwell imagined a future in which privacy was demolished by a totalitarian state that used spies, video surveillance, historical revisionism, and control over the media to maintain its power. Those who worry about personal privacy and identity--especially in this day of technologies that encroach upon these rights--still use Orwell's'Big Brother'language to discuss privacy issues. But the reality is that the age of a monolithic Big Brother is over. And yet the threats are perhaps even more likely to destroy the rights we've assumed were ours.Database Nation: The Death of Privacy in the 21st Century shows how, in these early years of the 21st century, advances in technology endanger our privacy in ways never before imagined. Direct marketers and retailers track our every purchase; surveillance cameras observe our movements; mobile phones will soon report our location to those who want to track us; government eavesdroppers listen in on private communications; misused medical records turn our bodies and our histories against us; and linked databases assemble detailed consumer profiles used to predict and influence our behavior. Privacy--the most basic of our civil rights--is in grave peril.Simson Garfinkel--journalist, entrepreneur, and international authority on computer security--has devoted his career to testing new technologies and warning about their implications. This newly revised update of the popular hardcover edition of Database Nation is his compelling account of how invasive technologies will affect our lives in the coming years. It's a timely, far-reaching, entertaining, and thought-provoking look at the serious threats to privacy facing us today. The book poses a disturbing question: how can we protect our basic rights to privacy, identity, and autonomy when technology is making invasion and control easier than ever before?Garfinkel's captivating blend of journalism, storytelling, and futurism is a call to arms. It will frighten, entertain, and ultimately convince us that we must take action now to protect our privacy and identity before it's too late.