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    The Whole Earth Review called Envisioning Information a "passionate, elegant revelation."

    Scholars and students need to be able to analyze, design and curate information into useful tools of communication, insight and understanding. This book is the starting point in learning the process and skills of data visualization, teaching the concepts and skills of how to present data and inspiring effective visual design. Benefits of this book: A flexible step-by-step journey that equips you to achieve great data visualization.A curated collection of classic and contemporary examples, giving illustrations of good and bad practice Examples on every page to give creative inspiration Illustrations of good and bad practice show you how to critically evaluate and improve your own work Advice and experience from the best designers in the field Loads of online practical help, checklists, case studies and exercises make this the most comprehensive text available

    It provides a high-productivity programming model that promotes cleaner code architecture, test-driven development, and powerful extensibility, combined with all the benefits of ASP.NET.ASP.NET MVC 5 contains a number of advances over previous versions, including the ability to define routes using C# attributes and the ability to override filters. The user experience of building MVC applications has also been substantially improved. The new, more tightly integrated, Visual Studio 2013 IDE has been created specifically with MVC application development in mind and provides a full suite of tools to improve development times and assist in reporting, debugging and deploying your code. The popular Bootstrap JavaScript library has also now been included natively within MVC 5 providing you, the developer, with a wider range of multi-platform CSS and HTML5 options than ever before without the penalty of having to load-in third party libraries. What you�ll learn Gain a solid architectural understanding of ASP.NET MVC 5 Explore the entire ASP.NET MVC Framework as a cohesive whole Learn what's new in version 5 and how best to apply these new features to your own work See how MVC and test-driven development work in action Capitalize on your existing knowledge quickly and easily through comparison of features in classic ASP.NET to those in ASP.NET MV Who this book is for This book is for web developers with a basic knowledge of ASP.NET and C#who want, or need, to start using the new ASP.NET MVC 5 Framework.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    100% complete coverage of all objectives for exam RH302 Exam Readiness Checklist at the front of the book--you're ready for the exam when all objectives on the list are checked off Inside the Exam sections in every chapter highlight key exam topics covered Real-world exercises modeled after hands-on exam scenarios Two complete lab-based exams simulate the format, tone, topics, and difficulty of the real exam Bonus content (available for download) includes installation screen review, basic instructions for using VMware and Xen as testbeds, and paper and pencil versions of the lab exams Covers all RH302 exam topics, including: Hardware installation and configuration The boot process Linux filesystem administration Package management and Kickstart User and group administration System administration tools Kernel services and configuration Apache and Squid Network file sharing services (NFS, FTP, and Samba) Domain Name System (DNS) E-mail (servers and clients) Extended Internet Services Daemon (xinetd), the Secure package, and DHCP The X Window System Firewalls, SELinux, and troubleshooting

    You'll be guided through the entire process of creating a gorgeous, usable web site by applying the timeless principles of user-centered design.Even if you're short on design skills, with this book you'll be creating your own stunning web sites in no time at all.Throughout, the focus is on simple and practical techniques that anyone can use - you don't need to have gone to art school or have artistic flair to create stunning designs using the methods outlined in this book.The book's full-color layout and large format (8" x 10") make Sexy Web Design a pleasure to read.Master key web interface design principles Design amazing web interfaces from scratch Create beautiful, yet functional, web sites Unleash your artistic talents And much more Who should read this book? Whether you're completely new to web design, a seasoned pro looking for inspiration, or a developer wanting to improve your sites' aesthetics, there's something for everyone here.How? Because instead of trying to cover every possible area of creating a web site, we've focused purely on the design stage; that is, everything that happens before a single line of code is written.However, great design is more than just aesthetics. Long before we open our graphics program of choice, we'll be conducting research, dealing with clients, responding to briefs, sketching out sitemaps, planning information architecture, moving from doodles to diagrams, exploring different ways of interactivity, and building upon design traditions.But ultimately, you'll be finding out how to create web sites that look drop-dead gorgeous.

    Although many developers feel that XP is rooted in commonsense, its vastly different approach can bring challenges, frustrations, and constant demands on your patience.Unless you've got unlimited time (and who does these days?), you can't always stop to thumb through hundreds of pages to find the piece of information you need. The Extreme Programming Pocket Guide is the answer. Concise and easy to use, this handy pocket guide to XP is a must-have quick reference for anyone implementing a test-driven development environment.The Extreme Programming Pocket Guide covers XP assumptions, principles, events, artifacts, roles, and resources, and more. It concisely explains the relationships between the XP practices. If you want to adopt XP in stages, the Extreme Programming Pocket Guide will help you choose what to apply and when. You'll be surprised at how much practical information is crammed into this slim volume.O'Reilly's Pocket Guides have become a favorite among developers everywhere. By providing a wealth of important details in a concise, well-organized format, these handy books deliver just what you need to complete the task at hand. When you've reached a sticking point in your work and need to get to a solution quickly, the new Extreme Programming Pocket Guide is the book you'll want to have beside your keyboard.

    With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysisFinally, a concise reference for understanding how to conquer piles of data.--Austin King, Senior Web Developer, MozillaAn indispensable text for aspiring data scientists.--Michael E. Driscoll, CEO/Founder, Dataspora

    More and more often, those companies look to technology consultants to fulfill their needs. There are real advantages to being a consultant. You make contacts with a lot of different people; you get exposure to many industries; and most important, unlike a software developer in the IT department for a brick-and-mortar company, as a technology consultant, you are the profit center…so long as you are billing. Consulting can be hugely rewarding—but it’s easy to fail if you are unprepared. To succeed, you need a mentor who knows the lay of the land. Aaron Erickson is your mentor, and this is your guidebook. Erickson has done it all—from Practice Leadership to the lowest level project work. In The Nomadic Developer, he brings together his hardwon insights on becoming successful and achieving success through tough times and relentless change. You’ll find 100% practical advice and real experiences—his own and annotations from those in the trenches. In addition, renowned consultants—such as David Chappell, Bruce Eckel, Deborah Kurata, and Ted Neward—share some of their hard-earned lessons. With this useful guidebook, you can Objectively assess whether the consultant’s life makes sense for you Break into thebusiness and build a career path that works Avoid the Seven Deadly Firms by identifying unscrupulous technology consultancies and avoiding their traps and pitfalls Understand the business models and mechanics that virtually all consulting firms use Master secret consulting success tips that are typically left unstated or overlooked Gain a competitive advantage by adding more value than your competitors Continue your professional development so you stay billable even during bad times Profit from both fixed-bid and time-and-materials projects Build a personal brand that improves your resiliency no matter what happens

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    This book is not a revision of the previous People's Almanac but a brand new book containing over one million new words. Its contents equal ten-normal sized books. It searches behind the facts to offer inside information as well as constant entertainment.