It aims to present these concepts and algorithms in a general setting that is not tied to one particular database system.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    This easy-to-follow guide leads you step by step through every bioinformatics task that can be done over the Internet. Forget long equations, computer-geek gibberish, and installing bulky programs that slow down your computer. You'll be amazed at all the things you can accomplish just by logging on and following these trusty directions. You get the tools you need to:Analyze all types of sequences Use all types of databases Work with DNA and protein sequences Conduct similarity searches Build a multiple sequence alignment Edit and publish alignments Visualize protein 3-D structures Construct phylogenetic trees This up-to-date second edition includes newly created and popular databases and Internet programs as well as multiple new genomes. It provides tips for using servers and places to seek resources to find out about what's going on in the bioinformatics world. Bioinformatics For Dummies will show you how to get the most out of your PC and the right Web tools so you'll be searching databases and analyzing sequences like a pro!

    That means you can't tap into the full power of Rails unless you master the Ruby language. ""Ruby for Rails,"" written by Ruby expert David Black (with a forward by David Heinemeier Hansson), helps Rails developers achieve Ruby mastery. Each chapter deepens your Ruby knowledge and shows you how it connects to Rails. You'll gain confidence working with objects and classes and learn how to leverage Ruby's elegant, expressive syntax for Rails application power. And you'll become a better Rails developer through a deep understanding of the design of Rails itself and how to take advantage of it.Newcomers to Ruby will find a Rails-oriented Ruby introduction that's easy to read and that includes dynamic programming techniques, an exploration of Ruby objects, classes, and data structures, and many neat examples of Ruby and Rails code in action. ""Ruby for Rails"": the Ruby guide for Rails developers!What's Inside Classes, modules, and objects Collection handling and filtering String and regular expression manipulation Exploration of the Rails source code Ruby dynamics Many more programming concepts and techniques!

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    If you're working with a relational database--whether you're writing applications, performing administrative tasks, or generating reports--you need to know how to interact with your data. Even if you are using a tool that generates SQL for you, such as a reporting tool, there may still be cases where you need to bypass the automatic generation feature and write your own SQL statements.To help you attain this fundamental SQL knowledge, look to "Learning SQL," an introductory guide to SQL, designed primarily for developers just cutting their teeth on the language."Learning SQL" moves you quickly through the basics and then on to some of the more commonly used advanced features. Among the topics discussed: The history of the computerized databaseSQL Data Statements--those used to create, manipulate, and retrieve data stored in your database; example statements include select, update, insert, and deleteSQL Schema Statements--those used to create database objects, such as tables, indexes, and constraintsHow data sets can interact with queriesThe importance of subqueriesData conversion and manipulation via SQL's built-in functionsHow conditional logic can be used in Data StatementsBest of all, "Learning SQL" talks to you in a real-world manner, discussing various platform differences that you're likely to encounter and offering a series of chapter exercises that walk you through the learning process. Whenever possible, the book sticks to the features included in the ANSI SQL standards. This means you'll be able to apply what you learn to any of several different databases; the book covers MySQL, Microsoft SQL Server, and Oracle Database, but the features and syntax should apply just as well (perhaps with some tweaking) to IBM DB2, Sybase Adaptive Server, and PostgreSQL.Put the power and flexibility of SQL to work. With "Learning SQL" you can master this important skill and know that the SQL statements you write are indeed correct.

    Floyd's acclaimed emphasis on "applications using real devices" and on "troubleshooting" gives users the problem-solving experience they'll need in their professional careers. Known for its clear, accurate explanations of theory supported by superior exercises and examples, this book's full-color format is packed with the visual aids today's learners need to grasp often complex concepts. KEY TOPICS The book features a comprehensive review of fundamental topics and a unique introduction to two popular programmable logic software packages (Altera and Xilinx) and boundary scan software. For electronic technicians, system designers, engineers.

    It has become adevelopment platform in it own right. Applications written using Excel are partof many corporations' core suites of business-critical applications. In spite ofthis, Excel is too often thought of as a hobbyist's platform. While there arenumerous titles on Excel and VBA, until now there have been none thatprovide an overall explanation of how to develop professional-quality Excel-basedapplications. All three authors are professional Excel developers who runtheir own companies developing Excel-based apps for clients ranging fromindividuals to the largest multinational corporations. In this book they showhow anyone from power users to professional developers can increase thespeed and usefulness of their Excel-based apps.

    Some of its new features are already being implemented by existing browsers, and much more is around the corner. Written by developers who have been using the new language for the past year in their work, this book shows you how to start adapting the language now to realize its benefits on today's browsers. Rather than being just an academic investigation, it concentrates on the practical--the problems HTML5 can solve for you right away. By following the book's hands-on HTML5 code examples you'll learn: new semantics and structures to help your site become richer and more accessiblehow to apply the most important JavaScript APIs that are already implementedthe uses of native multimedia for video and audiotechniques for drawing lines, fills, gradients, images and text with canvas how to build more intelligent web formsimplementation of new storage options and web databaseshow geolocation works with HTML5 in both web and mobile applicationsAll the code from this book (and more) is available at www.introducinghtml5.com. ********There appear to be intermittent problems with the first printing of Introducing HTML5. If you have one of these copies, please email us at ask@peachpit.com with a copy of your receipt (from any reseller), and we'll either provide access to the eBook or send you another copy of the print book -- whichever you prefer. If you'd like the eBook we can add that to your Peachpit.com account. You can set up a free account at www.peachpit.com/join http: //www.peachpit.com/join>. Thanks so much for your understanding!

    Written by three prominent members of the Perl community who each have several years of experience teaching Perl around the world, this edition has been updated to account for all the recent changes to the language up to Perl 5.8.Perl is the language for people who want to get work done. It started as a tool for Unix system administrators who needed something powerful for small tasks. Since then, Perl has blossomed into a full-featured programming language used for web programming, database manipulation, XML processing, and system administration--on practically all platforms--while remaining the favorite tool for the small daily tasks it was designed for. You might start using Perl because you need it, but you'll continue to use it because you love it.Informed by their years of success at teaching Perl as consultants, the authors have re-engineered the Llama to better match the pace and scope appropriate for readers getting started with Perl, while retaining the detailed discussion, thorough examples, and eclectic wit for which the Llama is famous.The book includes new exercises and solutions so you can practice what you've learned while it's still fresh in your mind. Here are just some of the topics covered:Perl variable typessubroutinesfile operationsregular expressionstext processingstrings and sortingprocess managementusing third party modulesIf you ask Perl programmers today what book they relied on most when they were learning Perl, you'll find that an overwhelming majority will point to the Llama. With good reason. Other books may teach you to program in Perl, but this book will turn you into a Perl programmer.

    The book is broken into two parts, the first deals with security-related reverse engineering and the second explores the more practical aspects of reverse engineering. In addition, the author explains how to reverse engineer a third-party software library to improve interfacing and how to reverse engineer a competitor's software to build a better product. * The first popular book to show how software reverse engineering can help defend against security threats, speed up development, and unlock the secrets of competitive products * Helps developers plug security holes by demonstrating how hackers exploit reverse engineering techniques to crack copy-protection schemes and identify software targets for viruses and other malware * Offers a primer on advanced reverse-engineering, delving into disassembly-code-level reverse engineering-and explaining how to decipher assembly language

    Mastering this art will not only make you the most desired developer in the market, but it will transform the craziest deadline into "Consider it done, Sir".

    With this guide, pioneering Go programmer Mark Summerfield shows how to write code that takes full advantage of Go's breakthrough features and idioms. Both a tutorial and a language reference, "Programming in Go" brings together all the knowledge you need to evaluate Go, think in Go, and write high-performance software with Go. Summerfield presents multiple idiom comparisons showing exactly how Go improves upon older languages, calling special attention to Go's key innovations. Along the way, he explains everything from the absolute basics through Go's lock-free channel-based concurrency and its flexible and unusual duck-typing type-safe approach to object-orientation. Throughout, Summerfield's approach is thoroughly practical. Each chapter offers multiple live code examples designed to encourage experimentation and help you quickly develop mastery. Wherever possible, complete programs and packages are presented to provide realistic use cases, as well as exercises. Coverage includes:-- Quickly getting and installing Go, and building and running Go programs -- Exploring Go's syntax, features, and extensive standard library -- Programming Boolean values, expressions, and numeric types -- Creating, comparing, indexing, slicing, and formatting strings -- Understanding Go's highly efficient built-in collection types: slices and maps -- Using Go as a procedural programming language -- Discovering Go's unusual and flexible approach to object orientation -- Mastering Go's unique, simple, and natural approach to fine-grained concurrency -- Reading and writing binary, text, JSON, and XML files -- Importing and using standard library packages, custom packages, and third-party packages -- Creating, documenting, unit testing, and benchmarking custom packages

    As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way.Expanded from Tyler Akidau's popular blog posts Streaming 101 and Streaming 102, this book takes you from an introductory level to a nuanced understanding of the what, where, when, and how of processing real-time data streams. You'll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax.You'll explore:How streaming and batch data processing patterns compareThe core principles and concepts behind robust out-of-order data processingHow watermarks track progress and completeness in infinite datasetsHow exactly-once data processing techniques ensure correctnessHow the concepts of streams and tables form the foundations of both batch and streaming data processingThe practical motivations behind a powerful persistent state mechanism, driven by a real-world exampleHow time-varying relations provide a link between stream processing and the world of SQL and relational algebra

    And they did it without fanfare or recognition from their employer. Hiltzik's Dealers of Lightning provides a fascinating look at technohistory that sets the record straight. In Dealers of Lightning, Hiltzik describes the forces and faces behind the revolution that the Xerox PARC team single-handedly spawned. The Xerox PARC group was composed solely of top technical minds. The decision was made at Xerox headquarters to give the team complete freedom from deadlines and directives, in hopes of fostering a true creative environment. It worked — perhaps too well. The team responded with a steady output of amazing technology, including the first version of the Internet, the first personal computer, user-friendly word-processing programs, and pop-up menus. Xerox, far from ready for the explosion of innovation, failed to utilize the technology dreamed up by the group. Out of all the dazzling inventions born at Xerox PARC, only a handful were developed and marketed by Xerox. However, one of these inventions, the laser printer, proved successful enough to earn billions for the company, therefore justifying its investment in the research center. Most oftheteam's creations would go on to be developed and perfected by other companies, such as IBM, Apple, and Microsoft. Drawing from interviews with the engineers, executives, and scientists involved in the Xerox PARC, Dealers of Lightning chronicles an amazing era of egos, ideas, and inventions at the dawn of the computer age.