Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    Hadoop allowed small and medium sized companies to store huge amounts of data on cheap commodity servers in racks. The introduction of Big Data has allowed businesses to make decisions based on quantifiable analysis. Hadoop is now implemented in major organizations such as Amazon, IBM, Cloudera, and Dell to name a few. This book introduces you to Hadoop and to concepts such as ‘MapReduce’, ‘Rack Awareness’, ‘Yarn’ and ‘HDFS Federation’, which will help you get acquainted with the technology.

    Author Mike Rohde shows you how to incorporate sketchnoting techniques into your note-taking process--regardless of your artistic abilities--to help you better process the information that you are hearing and seeing through drawing, and to actually have fun taking notes. The Sketchnote Handbook explains and illustrates practical sketchnote techniques for taking visual notes at your own pace as well as in real time during meetings and events. Rhode also addresses most people's fear of drawing by showing, step-by-step, how to quickly draw people, faces, type, and simple objects for effective and fast sketchnoting. The book looks like a peek into the author's private sketchnote journal, but it functions like a beginner's guide to sketchnoting with easy-to-follow instructions for drawing out your notes that will leave you itching to attend a meeting just so you can draw about it.

    For decades, technology leaders have struggled to balance agility, reliability, and security. The consequences of failure have never been greater whether it's the healthcare.gov debacle, cardholder data breaches, or missing the boat with Big Data in the cloud.And yet, high performers using DevOps principles, such as Google, Amazon, Facebook, Etsy, and Netflix, are routinely and reliably deploying code into production hundreds, or even thousands, of times per day.Following in the footsteps of The Phoenix Project, The DevOps Handbook shows leaders how to replicate these incredible outcomes, by showing how to integrate Product Management, Development, QA, IT Operations, and Information Security to elevate your company and win in the marketplace."Table of contentsPrefaceSpreading the Aha! MomentIntroductionPART I: THE THREE WAYS1. Agile, continuous delivery and the three ways2. The First Way: The Principles of Flow3. The Second Way: The Principle of Feedback4. The Third Way: The Principles of Continual LearningPART II: WHERE TO START5. Selecting which value stream to start with6. Understanding the work in our value stream…7. How to design our organization and architecture8. How to get great outcomes by integrating operations into the daily work for developmentPART III: THE FIRST WAY: THE TECHNICAL PRACTICES OF FLOW9. Create the foundations of our deployment pipeline10. Enable fast and reliable automated testing11. Enable and practice continuous integration12. Automate and enable low-risk releases13. Architect for low-risk releasesPART IV: THE SECOND WAY: THE TECHNICAL PRACTICES OF FEEDBACK14*. Create telemetry to enable seeing abd solving problems15. Analyze telemetry to better anticipate problems16. Enable feedbackso development and operation can safely deploy code17. Integrate hypothesis-driven development and A/B testing into our daily work18. Create review and coordination processes to increase quality of our current workPART V: THE THRID WAY: THE TECHNICAL PRACTICES OF CONTINUAL LEARNING19. Enable and inject learning into daily work20. Convert local discoveries into global improvements21. Reserve time to create organizational learning22. Information security as everyone’s job, every day23. Protecting the deployment pipelinePART VI: CONCLUSIONA call to actionConclusion to the DevOps HandbookAPPENDICES1. The convergence of Devops2. The theory of constraints and core chronic conflicts3. Tabular form of downward spiral4. The dangers of handoffs and queues5. Myths of industrial safety6. The Toyota Andon Cord7. COTS Software8. Post-mortem meetings9. The Simian Army10. Transparent uptimeAdditional ResourcesEndnotes

    In this book, Agile Alliance cofounder Mike Cohn discusses the philosophy of agile estimating and planning and shows you exactly how to get the job done, with real-world examples and case studies.Concepts are clearly illustrated and readers are guided, step by step, toward how to answer the following questions: What will we build? How big will it be? When must it be done? How much can I really complete by then? You will first learn what makes a good plan-and then what makes it agile.Using the techniques in Agile Estimating and Planning , you can stay agile from start to finish, saving time, conserving resources, and accomplishing more. Highlights include:Why conventional prescriptive planning fails and why agile planning works How to estimate feature size using story points and ideal days--and when to use each How and when to re-estimate How to prioritize features using both financial and nonfinancial approaches How to split large features into smaller, more manageable ones How to plan iterations and predict your team's initial rate of progress How to schedule projects that have unusually high uncertainty or schedule-related risk How to estimate projects that will be worked on by multiple teams Agile Estimating and Planning supports any agile, semiagile, or iterative process, including Scrum, XP, Feature-Driven Development, Crystal, Adaptive Software Development, DSDM, Unified Process, and many more. It will be an indispensable resource for every development manager, team leader, and team member.

    At under 200 pages it's quick reading too. Makes a great airplane book.

    The authors have extensive experience both managing data analysts and conducting their own data analyses, and have carefully observed what produces coherent results and what fails to produce useful insights into data. This book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science.

    Lessig reveals the solutions to this impasse offered by a collaborative yet profitable “hybrid economy”.Lawrence Lessig, the reigning authority on intellectual property in the Internet age, spotlights the newest and possibly the most harmful culture war—a war waged against our kids and others who create and consume art. America’s copyright laws have ceased to perform their original, beneficial role: protecting artists’ creations while allowing them to build on previous creative works. In fact, our system now criminalizes those very actions. For many, new technologies have made it irresistible to flout these unreasonable and ultimately untenable laws. Some of today’s most talented artists are felons, and so are our kids, who see no reason why they shouldn’t do what their computers and the Web let them do, from burning a copyrighted CD for a friend to “biting” riffs from films, videos, songs, etc and making new art from them.Criminalizing our children and others is exactly what our society should not do, and Lessig shows how we can and must end this conflict—a war as ill conceived and unwinnable as the war on drugs. By embracing “read-write culture,” which allows its users to create art as readily as they consume it, we can ensure that creators get the support—artistic, commercial, and ethical—that they deserve and need. Indeed, we can already see glimmers of a new hybrid economy that combines the profit motives of traditional business with the “sharing economy” evident in such Web sites as Wikipedia and YouTube. The hybrid economy will become ever more prominent in every creative realm—from news to music—and Lessig shows how we can and should use it to benefit those who make and consume culture.Remix is an urgent, eloquent plea to end a war that harms our children and other intrepid creative users of new technologies. It also offers an inspiring vision of the post-war world where enormous opportunities await those who view art as a resource to be shared openly rather than a commodity to be hoarded.

    In Web Form Design, Luke Wroblewski draws on original research, his considerable experience at Yahoo! and eBay, and the perspectives of many of the field's leading designers to show you everything you need to know about designing effective and engaging Web forms.

    Today, more and more graphic designers, advertising agencies, motion designers, and artists work in this area. New techniques and forms of expression are being developed. Consequently, the demand for information on this topic has grown enormously. Data Flow 2 expands the definition of contemporary information graphics. The book features new possibilities for diagrams, maps, and charts. It investigates the visual and intuitive presentation of processes, data, and information. Concrete examples of research and art projects as well as commercial work illuminate how techniques such as simplification, abstraction, metaphor, and dramatization function. The book also includes interviews with experts such as The New York Times s Steve Duenes, Infosthetics's Andrew Vande Moere, Visualcomplexity's Manuel Lima, ART+COM's Joachim Sauter, and passionate cartographer Menno-Jan Kraak as well as text features by Johannes Schardt about the challenges in creating effective information graphics and about the relationship between complexity, clarity, content, and innovation. Offering practical advice, background information, case studies, and inspiration, Data Flow 2 is a valuable reference for anyone working with or interested in information graphics.

    Can small artists still thrive in the Internet era? Can giant record labels avoid alienating their audiences? This is a book about the pitfalls and the opportunities that creative industries (and individuals) are confronting today — about how the old models have failed or found new footing, and about what might soon replace them. An essential read for anyone with a stake in the future of the arts, Information Doesn’t Want to Be Free offers a vivid guide to the ways creativity and the Internet interact today, and to what might be coming next.

    But what if you could have your computer do them for you?In "Automate the Boring Stuff with Python," you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online formsStep-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in "Automate the Boring Stuff with Python.""

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.

    A Problem2. Peter Pigeonhole Prepared A Petition3. What's Your Problem?Part 2: What is The Problem?4. Billy Brighteyes Bests The Bidders5. Billy Bites His Tongue6. Billy Back To The BiddersPart 3: What is The Problem Really?7. The Endless Chain8. Missing The Misfit9. Landing On The Level10. Mind Your MeaningPart 4: Whose Problem Is It?11. Smoke Gets In Your Eyes12. The Campus That Was All Spaced Out13. The Lights At The End Of The TunnelPart 5: Where Does It Come From?14. Janet Jaworski Joggles A Jerk15. Mister Matczyszyn Mends The Matter16. Make-Works And Take-Credits17. Examinations And Other PuzzlesPart 6: Do We Really Want To Solve It?18. Tom Tireless Tinkers With Toys19. Patience Plays Politics20. A Priority Assignment

    Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures