Data & IT

An accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete questions.Artificial intelligence powers Google''s search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions.Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein''s monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary.Build a speech recognizer, a camera that detects people, and a magic wand that responds to gesturesWork with Arduino and ultra-low-power microcontrollersLearn the essentials of ML and how to train your own modelsTrain models to understand audio, image, and accelerometer dataExplore TensorFlow Lite for Microcontrollers, Google's toolkit for TinyMLDebug applications and provide safeguards for privacy and securityOptimize latency, energy usage, and model and binary size

Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R.

Keep projects on trackMicrosoft Project 2019 is a powerhouse project management, portfolio management, and resource management tool. Whether you're a full-time project manager or manage projects as part of a larger set of duties, Microsoft Project 2019 For Dummies will get you thinking and operating at the level of a project management guru.Written by a noted project management pro, this book covers the ins and outs of Microsoft Project. Throughout the book, you'll find project management best practices and tips for keeping any project on schedule and under budget.* Reference the full set of Microsoft Project 2019 features* Learn to think like a project management professional* Get into the nuts and bolts of Project for better productivity* Create a task schedule that keeps a project moving* Identify the golden rules that keep projects on trackWith Microsoft Project 2019 For Dummies, you'll soon get a grip on all the powerful features of this popular project management software. No matter your level of training or experience, this book will show you how improve your project management with Microsoft Project 2019.

Sanctuary is home to some of the most dangerous creatures to pull themselves from the pits of hell. Tread lightly, and never fall prey to monsters with the Diablo Bestiary.

Building a successful product usually involves teams of people, and many choose the Scrum approach to aid in creating products that deliver the highest possible value. Implementing Scrum gives teams a collection of powerful ideas they can assemble to fit their needs and meet their goals. The ninety-four patterns contained within are elaborated nuggets of insight into Scrum’s building blocks, how they work, and how to use them. They offer novices a roadmap for starting from scratch, yet they help intermediate practitioners fine-tune or fortify their Scrum implementations. Experienced practitioners can use the patterns and supporting explanations to get a better understanding of how the parts of Scrum complement each other to solve common problems in product development.The patterns are written in the well-known Alexandrian form, whose roots in architecture and design have enjoyed broad application in the software world. The form organizes each pattern so you can navigate directly to organizational design tradeoffs or jump to the solution or rationale that makes the solution work. The patterns flow together naturally through the context sections at their beginning and end.Learn everything you need to know to master and implement Scrum one step at a time'the agile way.

Get your head--and your business--into the CloudCloud computing is no longer just a clever new toy in the world of IT infrastructure. Despite the nebulous name, it's become a real and important part of our information architecture--and tech professionals who ignore it or try to skim their way through risk falling behind rapidly. The new edition of Cloud Computing For Dummies gets you up to speed fast, clarifying your Cloud options, showing you where can save you time and money, giving you ways to frame your decisions, and helping you avoid weeks of research.In a friendly, easy-to-follow style, Cloud Computing For Dummies, 2nd Edition demystifies the Cloud's virtual landscape, breaking up a complex and multi-layered topic into simple explanations that will make the various benefits clear and ultimately guide you toward making the most appropriate choices for your organization.* Know the business case for the Cloud* Understand hybrid and multi-cloud options* Develop your Cloud strategy* Get tips on best practicesThe Cloud is everywhere, and it can deliver amazing benefits to our lives and businesses. Get a much clearer vision of exactly how with Cloud Computing For Dummies--and you'll begin to see that the sky really is the limit!

Power Query is the amazing new data cleansing tool in both Excel and Power BI Desktop. Do you find yourself performing the same data cleansing steps day after day? Power Query will make it faster to clean your data the first time. While Power Query is powerful, the interface is subtle--there are tools hiding in plain sight that are easy to miss. Go beyond the obvious and take Power Query to new levels with this book.

Hatchback & Estate. Petrol: 1.0 litre (998cc) 3-cyl & 1.6 litre (1596cc) 4-cyl. Diesel: 1.5 litre (1499cc) & 1.6 litre (1560cc). Does NOT cover 1.5, 2.0 or 2.3 litre petrol engines, Flexfuel models or 2.0 litre diesel engine. Does NOT cover ST or RS models, 4WD, automatic or `Powershift' transmissions

The Expanded Edition Guide to The Legend of Zelda: Breath of the Wild

Fake news. Digital monopolies. Stealth Marketing. This is the story of how the internet, which began as a dream, has become a nightmare.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations.

In his bestselling work of popular science, Sir Roger Penrose takes us on a fascinating tour through the basic principles of physics, cosmology, mathematics, and philosophy to show that human thinking can never be emulated by a machine.

With this practical guide, Andreas M. Antonopoulos and Gavin Wood provide everything you need to know about building smart contracts and DApps on Ethereum and other virtual-machine blockchains.

Malware analysis is big business, and attacks can cost a company dearly. When malware breaches your defenses, you need to act quickly to cure current infections and prevent future ones from occurring.For those who want to stay ahead of the latest malware, Practical Malware Analysis will teach you the tools and techniques used by professional analysts. With this book as your guide, you'll be able to safely analyze, debug, and disassemble any malicious software that comes your way.You'll learn how to:-Set up a safe virtual environment to analyze malware-Quickly extract network signatures and host-based indicators-Use key analysis tools like IDA Pro, OllyDbg, and WinDbg-Overcome malware tricks like obfuscation, anti-disassembly, anti-debugging, and anti-virtual machine techniques-Use your newfound knowledge of Windows internals for malware analysis-Develop a methodology for unpacking malware and get practical experience with five of the most popular packers-Analyze special cases of malware with shellcode, C++, and 64-bit codeHands-on labs throughout the book challenge you to practice and synthesize your skills as you dissect real malware samples, and pages of detailed dissections offer an over-the-shoulder look at how the pros do it. You'll learn how to crack open malware to see how it really works, determine what damage it has done, thoroughly clean your network, and ensure that the malware never comes back.Malware analysis is a cat-and-mouse game with rules that are constantly changing, so make sure you have the fundamentals. Whether you're tasked with securing one network or a thousand networks, or you're making a living as a malware analyst, you'll find what you need to succeed in Practical Malware Analysis.

As programmers, weve all seen source code thats so ugly and buggy it makes our brain ache. Over the past five years, authors Dustin Boswell and Trevor Foucher have analyzed hundreds of examples of "e;bad code"e; (much of it their own) to determine why theyre bad and how they could be improved. Their conclusion? You need to write code that minimizes the time it would take someone else to understand iteven if that someone else is you.This book focuses on basic principles and practical techniques you can apply every time you write code. Using easy-to-digest code examples from different languages, each chapter dives into a different aspect of coding, and demonstrates how you can make your code easy to understand.Simplify naming, commenting, and formatting with tips that apply to every line of codeRefine your programs loops, logic, and variables to reduce complexity and confusionAttack problems at the function level, such as reorganizing blocks of code to do one task at a timeWrite effective test code that is thorough and conciseas well as readable"e;Being aware of how the code you create affects those who look at it later is an important part of developing software. The authors did a great job in taking you through the different aspects of this challenge, explaining the details with instructive examples."e;Michael Hunger, passionate Software Developer

"Feel" is the essence of human-computer interaction. It is the single most important (yet often overlooked) element in games that makes the game art form unique. No other traditional art form like film, literature, music encompasses interactivity, as games do. This book bring "feel" to the forefront and gives it a proper voice.

Reveals tips for preparing effective presentations and shows how to combine those tips with technologies for better visuals. This book provides information on how to prepare different types of charts - pie, bar, column, line, or dot - and when to use each, and recommendations on lettering size, color choice, appropriate chart types.

Presenting the 20th anniversary and first revised edition of a collection of essays on the management of computer programming projects, this work is an updated and enhanced re-release of the "Brooks classic". With the addition of 3 essays assessing the status of software project management, the authors "No Silver Bullet", is also included.

Keeping up with the Python ecosystem can be daunting. Its developer tooling doesn't provide the out-of-the-box experience native to languages like Rust and Go. When it comes to long-term project maintenance or collaborating with others, every Python project faces the same problem: how to build reliable workflows beyond local development while staying in sync with the evolving ecosystem. With this hands-on guide, Python developers will learn how to forge the moving parts of a Python project into an easy-to-use toolchain, using state-of-the-art tools including Poetry, Nox, pytest, mypy, pre-commit, Black, Ruff, uv, Rye, Hatch, and more. Author Claudio Jolowicz shows you how to create robust Python project structures complete with unit tests, static analysis, code formatting, and type checking. You'll learn how to: Create open source projects with state-of-the-art infrastructure Build a custom infrastructure for all Python projects in a company or team Improve and modernize the infrastructure of an existing Python project Evaluate modern Python tooling for adoption in existing projects Use tools for packaging and dependency management Automate common development tasks such as testing, dependency updates, and publishing releases

This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Covering key concepts relating to contemporary architectures and techniques, this essential book equips readers with a robust foundation for potential future specialization. The field of deep learning is undergoing rapid evolution, and therefore this book focusses on ideas that are likely to endure the test of time.The book is organized into numerous bite-sized chapters, each exploring a distinct topic, and the narrative follows a linear progression, with each chapter building upon content from its predecessors. This structure is well-suited to teaching a two-semester undergraduate or postgraduate machine learning course, while remaining equally relevant to those engaged in active research or in self-study.A full understanding of machine learning requires some mathematical background and so the book includes a self-contained introduction to probability theory. However, the focus of the book is on conveying a clear understanding of ideas, with emphasis on the real-world practical value of techniques rather than on abstract theory. Complex concepts are therefore presented from multiple complementary perspectives including textual descriptions, diagrams, mathematical formulae, and pseudo-code.Chris Bishop is a Technical Fellow at Microsoft and is the Director of Microsoft Research AI4Science. He is a Fellow of Darwin College Cambridge, a Fellow of the Royal Academy of Engineering, and a Fellow of the Royal Society. Hugh Bishop is an Applied Scientist at Wayve, a deep learning autonomous driving company in London, where he designs and trains deep neural networks. He completed his MPhil in Machine Learning and Machine Intelligence at Cambridge University.¿Chris Bishop wrote a terrific textbook on neural networks in 1995 and has a deep knowledge of the field and its core ideas. His many years of experience in explaining neural networks have made him extremely skillful at presenting complicated ideas in the simplest possible way and it is a delight to see these skills applied to the revolutionary new developments in the field.¿ -- Geoffrey Hinton"With the recent explosion of deep learning and AI as a research topic, and the quickly growing importance of AI applications, a modern textbook on the topic was badly needed. The "New Bishop" masterfully fills the gap, covering algorithms for supervised and unsupervised learning, modern deep learning architecture families, as well as how to apply all of this to various application areas." ¿ Yann LeCun¿This excellent and very educational book will bring the reader up to date with the main concepts and advances in deep learning with a solid anchoring in probability. These concepts are powering current industrial AI systems and are likely to form the basis of further advances towards artificial general intelligence.¿ -- Yoshua Bengio

In this insightful and comprehensive guide, Addy Osmani shares more than a decade of experience working on the Chrome team at Google, uncovering secrets to engineering effectiveness, efficiency, and team success. Engineers and engineering leaders looking to scale their effectiveness and drive transformative results within their teams and organizations will learn the essential principles, tips, and frameworks for building highly effective engineering teams. Osmani presents best practices and proven strategies that foster engineering excellence in organizations of all sizes. Through practical advice and real-world examples, Leading Effective Engineering Teams empowers you to create a thriving engineering culture where individuals and teams can excel. Unlock the full potential of your engineering team and achieve unparalleled success by harnessing the power of trust, commitment, and accountability. With this book, you'll discover: The essential traits for engineering effectiveness and the pitfalls to avoid How to cultivate trust, commitment, and accountability within your team Strategies to minimize friction, optimize career growth, and deliver maximum value The dynamics of highly successful engineering teams and how to replicate their achievements How to implement a systems thinking approach for everyday problem-solving and decision-making Self-advocacy techniques to enhance your team's visibility and recognition within the organization

For many, AI technology inspires hope for the future-the promise of shared human flourishing and collective liberation from drudgery that defines the "good life," but always seems to elude our species. Yet today's AI technology is forged from human-generated data into immensely powerful but flawed mirrors that endlessly reflect the same errors, biases and failures of wisdom we are striving to escape. To open new futures for ourselves with these tools is as misguided as gazing into a mirror while trying to climb an uncharted mountain. At this crucial juncture for humanity and our planet, we need something new from AI, and more importantly, from ourselves. We need to find new hope-not to surrender our greatest moral and intellectual ambitions to machines that have none, but to renew those ambitions, collectively, for ourselves. Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be, and what we can be with it. She calls us to reclaim our human potential for moral and intellectual growth, rather than losing sight of our shared humanity as we gaze dully into our AI mirrors.