Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

    This comprehensive work covers both statistical and symbolic approaches to language processing; it shows how they can be applied to important tasks such as speech recognition, spelling and grammar correction, information extraction, search engines, machine translation, and the creation of spoken-language dialog agents. The following distinguishing features make the text both an introduction to the field and an advanced reference guide.- UNIFIED AND COMPREHENSIVE COVERAGE OF THE FIELDCovers the fundamental algorithms of each field, whether proposed for spoken or written language, whether logical or statistical in origin.- EMPHASIS ON WEB AND OTHER PRACTICAL APPLICATIONSGives readers an understanding of how language-related algorithms can be applied to important real-world problems.- EMPHASIS ON SCIENTIFIC EVALUATIONOffers a description of how systems are evaluated with each problem domain.- EMPERICIST/STATISTICAL/MACHINE LEARNING APPROACHES TO LANGUAGE PROCESSINGCovers all the new statistical approaches, while still completely covering the earlier more structured and rule-based methods.

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    - Build an Angular 2 application from scratch using TypeScript and the Angular command line interface. - Write code using the paradigm of reactive programming with RxJS and Observables. - Know how to Unit Test Angular 2 using Jasmine, Karma and the Angular Test Bed The first chapter in the course is a quickstart where you dive straight into writing your first Angular 2 application. We use the web editor plunker so you can get stuck in writing code ASAP. In this quickstart you'll get a 50,000 foot view of the major features of Angular 2. Then chapter by chapter we go much deeper into each of these features. I'll cover the theory for that feature, using plunker as much as possible so you can try out the code yourself in a browser. Then you'll practice what you've learnt with either an online quiz or a set of flash cards. You are going to learn all about:- - Typescript & ES6 Javascript. - Components & Binding - Directives - Dependancy Injection & Services - Angular Modules & Bootstrapping your Angular application. - SPAs & Routing - Angular CLI - Forms - Reactive Programming with RXJs - HTTP - Unit Testing The ideal student is an existing web developer, with some JavaScript knowledge that wants to add Angular 2 to their skill set. Or perhaps you are an existing Angular 1 developer who wants to level up to Angular 2. You do need to be comfortable with at least the ES5 version of JavaScript. We'll be using a UI framework called twitter bootstrap throughout the course but you still must know HTML and some CSS.

    In a self-contained manner it proceeds from mathematical and theoretical considerations to actual practical computer routines. With over 100 new routines bringing the total to well over 300, plus upgraded versions of the original routines, the new edition remains the most practical, comprehensive handbook of scientific computing available today.

    Presenting the concept of the "New Jim Code," she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life.This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture.If you adopt this book for classroom use in the 2019-2020 academic year, the author would be pleased to arrange to Skype to a session of your class. If interested, enter your details in this sign-up sheet https: //buff.ly/2wJsvZr

    Renowned for her lucid, accessible prose, Epp explains complex, abstract concepts with clarity and precision. This book presents not only the major themes of discrete mathematics, but also the reasoning that underlies mathematical thought. Students develop the ability to think abstractly as they study the ideas of logic and proof. While learning about such concepts as logic circuits and computer addition, algorithm analysis, recursive thinking, computability, automata, cryptography, and combinatorics, students discover that the ideas of discrete mathematics underlie and are essential to the science and technology of the computer age. Overall, Epp's emphasis on reasoning provides students with a strong foundation for computer science and upper-level mathematics courses.

    As a professional C++ developer and former Harvard teaching fellow, I know what you need to know to be a great C++ programmer, and I know how to teach it, one step at a time. I know where people struggle, and why, and how to make it clear. I cover every step of the programming process, including:Getting the tools you need to program and how to use them*Basic language feature like variables, loops and functions*How to go from an idea to code*A clear, understandable explanation of pointers*Strings, file IO, arrays, references*Classes and advanced class design*C++-specific programming patterns*Object oriented programming*Data structures and the standard template library (STL)Key concepts are reinforced with quizzes and over 75 practice problems.

    For courses in computer organization and architecture, this text provides a clear, comprehensive presentation of the organization and architecture of contemporary computers.

    This book is intended to help readers understand and critique research in language learning. It presents a balanced and objective view of a range of methods - including formal experiments, introspective methods, interaction and transcript analysis, ethnography, and case studies. The book is highly accessible and does not assume specialist or technical knowledge. This volume will be of interest to students of applied linguistics and educational researchers, in addition to classroom teachers and teachers-in-training. Throughout the book, theoretical issues are drawn from published studies and reports. The book emphasizes the professional and practical value of reading published research.

    But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options.This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization.Explore the basic concepts of color as a tool to highlight, distinguish, or represent a valueUnderstand the importance of redundant coding to ensure you provide key information in multiple waysUse the book's visualizations directory, a graphical guide to commonly used types of data visualizationsGet extensive examples of good and bad figuresLearn how to use figures in a document or report and how employ them effectively to tell a compelling story

     Limited Time Offer: Buy CompTIA(R) A+ 220-801 and 220-802 Exam Cram and receive a 10% off discount code for the CompTIA A+ 220-801 and 220-802 exams. To receive your 10% off discount code:Register your product at pearsonITcertification.com/registerFollow the instructionsGo to your Account page and click on "Access Bonus Content" CompTIA(R) A+ 220-801 and 220-802 Exam Cram, Sixth Edition is the perfect study guide to help you pass CompTIA's A+ 220-801 and 220-802 exams. It provides coverage and practice questions for every exam topic, including substantial new coverage of Windows 7, new PC hardware, tablets, smartphones, and professional-level networking and security. The book presents you with an organized test preparation routine through the use of proven series elements and techniques. Exam topic lists make referencing easy. Exam Alerts, Sidebars, and Notes interspersed throughout the text keep you focused on what you need to know. Cram Quizzes help you assess your knowledge, and the Cram Sheet tear card is the perfect last minute review. Covers the critical information you'll need to know to score higher on your CompTIA A+ 220-801 and 220-802 exams!Deploy and administer desktops and notebooks running Windows 7, Vista, or XPUnderstand, install, and troubleshoot motherboards, processors, and memoryTest and troubleshoot power-related problemsUse all forms of storage, including new Blu-ray and Solid State (SSD) devicesWork effectively with mobile devices, including tablets and smartphonesInstall, configure, and troubleshoot both visible and internal laptop componentsConfigure Windows components and applications, use Windows administrative tools, and optimize Windows systemsRepair damaged Windows environments and boot errorsWork with audio and video subsystems, I/O devices, and the newest peripheralsInstall and manage both local and network printersConfigure IPv4 and understand TCP/IP protocols and IPv6 changesInstall and configure SOHO wired/wireless networks and troubleshoot connectivityImplement secure authentication, prevent malware attacks, and protect data Companion CDThe companion CD contains a digital edition of the Cram Sheet and the powerful Pearson IT Certification Practice Test engine, complete with hundreds of exam-realistic questions and two complete practice exams. The assessment engine offers you a wealth of customization options and reporting features, laying out a complete assessment of your knowledge to help you focus your study where it is needed most. Pearson IT Certifcation Practice Test Minimum System RequirementsWindows XP (SP3), WIndows Vista (SP2), or Windows 7Microsoft .NET Framework 4.0 ClientPentium-class 1 GHz processor (or equivalent)512 MB RAM650 MB disk space plus 50 MB for each downloaded practice exam David L. Prowse is an author, computer network specialist, and technical trainer. Over the past several years he has authored several titles for Pearson Education, including the well-received CompTIA A+ Exam Cram and CompTIA Security+ Cert Guide. As a consultant, he installs and secures the latest in computer and networking technology. He runs the website www.davidlprowse.com, where he gladly answers questions from students and readers.

    This operating system now serves as corporate hubs, Web servers, academic research platforms, and program development systems. All along it's also managed to keep its original role as an enjoyable environment for personal computing, learning system administration and programming skills, and all-around hacking.This book, now in its third edition, has been widely recognized for years in the Linux community as the getting-started book people need. It goes into depth about configuration issues that often trip up users but are glossed over by other books.A complete, UNIX-compatible operating system developed by volunteers on the Internet, Linux is distributed freely in electronic form and at a low cost from many vendors. Developed first on the PC, it has been ported to many other architectures and can now support such heavy-duty features as multiprocessing, RAID, and clustering.Software packages on Linux include the Samba file server and Apache Web server; the X Window System (X11R6); TCP/IP networking (including PPP, SSH, and NFS support); popular software tools such as Emacs and TeX; a complete software development environment including C, C++, Java, Perl, Tcl/Tk, and Python; libraries, debuggers, multimedia support, scientific and database applications, and much more. Commercial applications that run on Linux range from end-user tools like word processors and spreadsheets to mission-critical software like the Oracle, Sybase, Informix, and IBM DB/2 database management systems.Running Linux has all the information you need to understand, install, and start using the Linux operating system. This includes a comprehensive installation tutorial, complete information on system maintenance, tools for document development and programming, and guidelines for network, file, printer, and Web site administration.

    But Scrum’s simplicity itself—its lack of prescription—can be disarming, and new practitioners often find themselves reverting to old project management habits and tools and yielding lesser results. In this illuminating series of case studies, Scrum co-creator and evangelist Ken Schwaber identifies the real-world lessons—the successes and failures—culled from his years of experience coaching companies in agile project management. Through them, you’ll understand how to use Scrum to solve complex problems and drive better results—delivering more valuable software faster.Gain the foundation in Scrum theory—and practice—you need to:Rein in even the most complex, unwieldy projectsEffectively manage unknown or changing product requirementsSimplify the chain of command with self-managing development teamsReceive clearer specifications—and feedback—from customersGreatly reduce project planning time and required toolsBuild—and release—products in 30-day cycles so clients get deliverables earlierAvoid missteps by regularly inspecting, reporting on, and fine-tuning projectsSupport multiple teams working on a large-scale project from many geographic locationsMaximize return on investment!

    It uses examples and exercise sets, with clear explanations of problem-solving techniqes and material on the further theory of functions.