Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

    R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.The author introduces you to the R environment, including the R graphical user interface and console, and takes you through the fundamentals of the object-oriented R language. Then, through a variety of practical examples from medicine, business, and sports, you'll learn how you can use this remarkable tool to solve your own data analysis problems.Understand the basics of the language, including the nature of R objectsLearn how to write R functions and build your own packagesWork with data through visualization, statistical analysis, and other methodsExplore the wealth of packages contributed by the R communityBecome familiar with the lattice graphics package for high-level data visualizationLearn about bioinformatics packages provided by Bioconductor"I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians."

    It's great to have theory and evidenced-based research at your disposal, but what will you do when somebody asks you to make your dashboard 'cooler' by adding packed bubbles and donut charts?The expert authors have a combined 30-plus years of hands-on experience helping people in hundreds of organizations build effective visualizations. They have fought many 'best practices' battles and having endured bring an uncommon empathy to help you, the reader of this book, survive and thrive in the data visualization world.A well-designed dashboard can point out risks, opportunities, and more; but common challenges and misconceptions can make your dashboard useless at best, and misleading at worst. The Big Book of Dashboards gives you the tools, guidance, and models you need to produce great dashboards that inform, enlighten, and engage.

    Featuring vivid case-studies highlighting the work of individuals in New York, Boston, Rio de Janeiro, Stockholm, Indiana, and Chicago, the book provides a compelling model for the future of cities and states. The authors demonstrate how digital innovations will drive a virtuous cycle of responsiveness centered on "empowerment": 1) empowering public employees with tools to both power their performance and to help them connect more personally to those they service, 2) empowering constituents to see and understand problems and opportunities faced by cities so that they can better engage in the life of their communities, and 3) empowering leaders to drive towards their missions and address the grand challenges confronting cities by harnessing the predictive power of cross-government Big Data, the book will help mayors, chief technology officers, city administrators, agency directors, civic groups and nonprofit leaders break out of current paradigms in order to collectively address civic problems. Co-authored by Stephen Goldsmith, former Mayor of Indianapolis, and current Director of the Innovations in Government Program at the Harvard Kennedy School and Susan Crawford, co-director of Harvard's Berkman Center for Internet and Society."The Responsive City" highlights the ways in which leadership, empowered government employees, thoughtful citizens, and 21st century technology can combine to improve government operations and strengthen civic trust. It provides actionable advice while exploring topics like: * Visualizing service delivery and predicting improvement* Making the work of government employees more meaningful* Amplification and coordination of focused citizen engagement* Big Data in big cities - stories of surprising successes and enormous potential

    An approachable guide to programming in SQL (Structured Query Language) that will teach even beginning programmers how to build powerful databases and analyze data to find meaningful information.Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language) written by longtime professional journalist Anthony DeBarros. SQL is the primary tool that programmers, web developers, researchers, journalists, and others use to explore data in a database. DeBarros focuses on using SQL to find the story in data, with the aid of the popular open-source database PostgreSQL and the pgAdmin interface.This thoroughly revised second edition includes a new chapter describing how to set up PostgreSQL and more extensive discussion of pgAdmin's best features. The author has also added a chapter on the JSON data format that shows readers how to store and query JSON data. DeBarros has also updated the data in the book throughout, added coverage of additional topics, and perfected the book's examples.Readers love DeBarros's use of exercises and real-world examples that demonstrate how to:- Create databases and related tables using your own data - Correctly define data typesAggregate, sort, and filter data to find patterns - Clean their data and transfer data as text files - Create advanced queries and automate tasksThis book uses PostgreSQL, but the SQL syntax is applicable to many database applications, including Microsoft SQL Server and MySQL.

    Each lesson is followed by list of key concepts and sample questions to help you study for your ITIL(R) Foundation certification exam. Chapter review questions, modeled after the real exam questions, reinforce your learning for each unit.Written by an ITIL(R) Expert trainer who has taught thousands of students and hundreds of organizations, "Foundations of IT Service Management with ITIL(R) 2011" provides a reader with the introduction to this approach to IT services without the expense of a formal classroom course. While the focus is primarily on providing information required to pass the ITIL(R) Foundations exam, this book goes beyond those basics to also provide a real understanding of ITIL(R) to further your knowledge and abilities as a valuable part of IT/business alignment. Using a case-study approach, real issues are discussed that represents challenges experienced by almost every IT organization.Everyone prepares for the ITIL(R) Foundation certification exam in different ways. Accompanying the book are numerous study aids to support your study preparation on the supporting web site. Whether you are new to IT or a seasoned professional, this book is one you need to aid in your quest for certification.Included in your purchase is access to the online study resources including:- Exercise guide- Audio "learn while you drive" reviews- Sample exams- Exam syllabus- PDF version of the "100 ITIL Exam Questions" bookCompanies in all industries are requiring ITIL(R) Foundation as a minimum requirement for their staff. Whether you are entering IT for the first time or switching jobs, ITIL(R) Foundation certification is a step toward your desired career.

    With our Cookbook's unique format, you can learn how to build dynamic web applications that work on any web browser. This revised new edition makes it easy to find specific solutions for programming challenges.PHP Cookbook has a wealth of solutions for problems that you'll face regularly. With topics that range from beginner questions to advanced web programming techniques, this guide contains practical examples -- or "recipes" -- for anyone who uses this scripting language to generate dynamic web content. Updated for PHP 5, this book provides solutions that explain how to use the new language features in detail, including the vastly improved object-oriented capabilities and the new PDO data access extension. New sections on classes and objects are included, along with new material on processing XML, building web services with PHP, and working with SOAP/REST architectures. With each recipe, the authors include a discussion that explains the logic and concepts underlying the solution.

    Used in hundreds of educational institutions around the world as the primary text for CNC courses, and used daily by many in-field CNC programmers and machine operators, this book literally defines CNC programming. Written with careful attention to detail, there are no compromises. Many of the changes in this new Third Edition are the direct result of comments and suggestions received from many CNC professionals in the field. This extraordinarily comprehensive work continues to be packed with over one thousand illustrations, tables, formulas, tips, shortcuts, and practical examples.The enclosed CD-ROM now contains a fully functional 15-day shareware version of CNC tool path editor/simulator, NCPlot™. This powerful, easy-to-learn software includes an amazing array of features, many not found in competitive products. NCPlot offers an unmatched combination of simplicity of use and richness of features. Support for many advanced control options is standard, including a macro interpreter that simulates Fanuc and similar macro programs.The CD-ROM also offers many training exercises based on individual chapters, along with solutions and detailed explanations. Special programming and machining examples are provided as well, in form of complete machine files, useful as actual programming resources. Virtually all files use Adobe PDF format and are set to high resolution printing.FEATURES Fully functional shareware version of CNC toolpath simulator/editor, NCPlot(TM), included on the CD-ROM. This powerful software includes an amazing array of features, including those not found in competitive products. Support for many advanced features is standard, and the included macro interpreter can simulate Fanuc and compatible macro toolpath programs Detailed section on CNC lathes with live tooling, including examples Image files of many actual parts, used as examples More programming examples (both in printed text and on the CD-ROM) Optimized for the latest Fanuc and related control systems Additional formulas, calculations and handy reference material Fourth axis programming (indexing and rotary) CD-ROM based projects, including several as interactive PDF forms Improved index for better search of topics

     FreeMind is a premier mind mapping software written in Java. It is a high-productivity tool that can make all your online mind mapping simple. Organize, prioritize, know where you are, where you've been and where you're heading with FreeMind. Mind mapping can be used for brainstorming, goal planning, product design, event planning, and so much more - the only limit is your own creativity. Use this guide's step-by-step instructions and screenshots to learn how to create your own digital mind maps. THIS BOOK DOES NOT TEACH YOU MIND MAPPING CONCEPTS OR BASICS. It ONLY shows you how to use the FreeMind software that creates digital mind maps. If you are new to mind maps, you may want to pick up Mind Mapping Secrets - Achieving Your Goals for a quick primer on how to create mind maps using pen and paper. Then take your maps to a new level with this easy to master How To guide today.

    With a new introduction, three new chapters, modernized language and methods throughout, and an appendix of challenging and enjoyable practice problems, Calculus Made Easy has been thoroughly updated for the modern reader.

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. The PageRank idea and related tricks for organizing the Web are covered next. Other chapters cover the problems of finding frequent itemsets and clustering. The final chapters cover two applications: recommendation systems and Web advertising, each vital in e-commerce. Written by two authorities in database and Web technologies, this book is essential reading for students and practitioners alike.

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

    Because no one can be an expert on everything, designers have always had to scramble to find the information and know-how required to make a design work - until now. Universal Principles of Design is the first cross-disciplinary reference of design. Richly illustrated and easy to navigate, this book pairs clear explanations of the design concepts featured with visual examples of those concepts applied in practice. From the 80/20 rule to chunking, from baby-face bias to Ockham's razor, and from self-similarity to storytelling, 100 design concepts are defined and illustrated for readers to expand their knowledge.This landmark reference will become the standard for designers, engineers, architects, and students who seek to broaden and improve their design expertise.

    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