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

    

    Loosely based on neuron behavior inside of human brains, these systems are rapidly catching up with the intelligence of their human creators, defeating the world champion Go player, achieving superhuman performance on video games, driving cars, translating languages, and sometimes even helping law enforcement fight crime. Deep Learning is a revolution that is changing every industry across the globe.Grokking Deep Learning is the perfect place to begin your deep learning journey. Rather than just learn the “black box” API of some library or framework, you will actually understand how to build these algorithms completely from scratch. You will understand how Deep Learning is able to learn at levels greater than humans. You will be able to understand the “brain” behind state-of-the-art Artificial Intelligence. Furthermore, unlike other courses that assume advanced knowledge of Calculus and leverage complex mathematical notation, if you’re a Python hacker who passed high-school algebra, you’re ready to go. And at the end, you’ll even build an A.I. that will learn to defeat you in a classic Atari game.

    In this new edition, the authors explain how SQL Server 2008 R2 provides a collection of powerful new tools that extend the power of its BI toolset to Excel and SharePoint users and they show how to use SQL Server to build a successful data warehouse that supports the business intelligence requirements that are common to most organizations. Covering the complete suite of data warehousing and BI tools that are part of SQL Server 2008 R2, as well as Microsoft Office, the authors walk you through a full project lifecycle, including design, development, deployment and maintenance.Features more than 50 percent new and revised material that covers the rich new feature set of the SQL Server 2008 R2 release, as well as the Office 2010 release Includes brand new content that focuses on PowerPivot for Excel and SharePoint, Master Data Services, and discusses updated capabilities of SQL Server Analysis, Integration, and Reporting Services Shares detailed case examples that clearly illustrate how to best apply the techniques described in the book The accompanying Web site contains all code samples as well as the sample database used throughout the case studies The Microsoft Data Warehouse Toolkit, Second Edition provides you with the knowledge of how and when to use BI tools such as Analysis Services and Integration Services to accomplish your most essential data warehousing tasks.

    Every year, tens of thousands of people embark towards taking the exam via private study, Cisco Academy courses, or online training. The sad truth is most students quit along the way, and for those few who actually do attempt it, only 50% pass. All that time, effort, and money wasted! If there are so many manuals, CBT courses, lab simulators, exam engines, and study resources out there, then what goes wrong? This is the question Cisco trainer Paul Browning wanted to get to the bottom of. After interviewing thousands of students, he discovered that most people quit because they are simply overwhelmed with the sheer volume of material they need to digest and, of course, the large number of hands-on skills they need to be able to demonstrate in the exam. Add to that the day-to-day stresses of commuting to work, bringing up a family, and the distraction of everyday problems and challenges; it's no wonder people quit. This is where Cisco CCNA in 60 Days can help. Devised by two industry experts and countless Cisco students just like you, the 60-day programme breaks down every exam requirement into a daily study task. All you need to do is open the book at the relevant day (from 1 to 60), read the theory, and complete the lab. Every lesson is reviewed several times in the form of exam questions, review sessions, a handy exam cram guide, and, of course, hands-on labs for you to follow. You can choose to take the CCENT after the first 30 days and the ICND2 after the next 30 days, or you can take the CCNA after 60 days of study. Here is what is included in your study guide: 60 daily study tasks Full explanations of theory Real-world tips and advice Over 47 hands-on labs, plus 15 bonus CCENT and ICND2 labs CCENT and ICND2 cram guides Bonus VLSM guide Motivational goal-setting guide Downloadable videos Author Paul Browning is a former police officer who used his CCNA qualification to help him make a career change to IT. He worked for Cisco in the UK for a while, and then went on to start his own Cisco training company, which he ran for 8 years before moving into online Cisco training. He is the author of several Cisco study guides. He has also created the online Cisco certification training sites, including www.howtonetwork.net and www.in60days.net. Technical author Farai Tafa used to work in a shoe shop but decided he wanted more out of life, so he began to study for his Cisco exams. He is now a dual CCIE and one of the leading Cisco consultants in the US. He currently designs, installs, and troubleshoots networks for large companies.

    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.

    Every complete program uses a consistent style, and as programs are analyzed, styles and standards are further explained. Whenever possible, the authors develop the principle of a subject before they introduce the language implementation so the student understands the concept before dealing with the nuances of C++. In addition, a vast array of figures and tables visually reinforce key concepts. By integrating software engineering principles and encouraging the student to resist the temptation to immediately code, the text builds a solid foundation in problem solving.

    Author John Myles White shows you how this powerful class of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success.This is the first developer-focused book on bandit algorithms, which were previously described only in research papers. You’ll quickly learn the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through code examples written in Python, which you can easily adapt for deployment on your own website.Learn the basics of A/B testing—and recognize when it’s better to use bandit algorithmsDevelop a unit testing framework for debugging bandit algorithmsGet additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials

    In its most simple form, earned value equates to fundamental project management. This is not a new book, but rather it is an updated book. Authors Quentin Fleming and Joel Koppelman have made some important additions. In many cases, there will be no changes to a given section. But in other sections, the authors have made substantial revisions to what they had described in the first edition. Fleming and Koppelman’s goal remains the same with this update: describe earned value project management in its most fundamental form, for application to all projects, of any size or complexity. Writing in an easy-to-read, friendly, and humorous style characteristic of the best teachers, Fleming and Koppelman have identified the minimum requirements that they feel are necessary to use earned value as a simple tool for project managers. They have also witnessed the use of simple earned value on software projects, and find it particularly exciting. Realistically, a Cost Performance Index (CPI) is the same whether the project is a multibillion-dollar high-technology project, or a simple one hundred thousand-dollar software project. A CPI is a CPI … period. It is a solid metric that reflects the health of the project. In every chapter, Fleming and Koppelman stick with using simple stories to define their central concept. Their project examples range from peeling potatoes to building a house. Examples are in round numbers, and most formulas get no more complicated than one number divided by another. Earned Value Project Management—Second Edition may be the best-written, most easily understood project management book on the market today. Project managers will welcome this fresh translation of jargon into ordinary English. The authors have mastered a unique "early-warning" signal of impending cost problems in time for the project manager to react.

    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.

    With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You'll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media.Learn how to apply the tidy text format to NLPUse sentiment analysis to mine the emotional content of textIdentify a document's most important terms with frequency measurementsExplore relationships and connections between words with the ggraph and widyr packagesConvert back and forth between R's tidy and non-tidy text formatsUse topic modeling to classify document collections into natural groupsExamine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages

    This title also teaches you how to use the HTML5 and CSS3 features alongside the earlier standards.

    The text is based on the modern limit states approach to design and covers areas such as the properties of steel, types of steel structures, important areas of structural steel technology, bolted connections, welded connection, design of trusses, design of plate girders, and design of beam columns. Each chapter features solved examples, review questions, and practice problems as well as ample illustrations that supplement the text. Chapters on advanced topics such as protection of steel structures against corrosion and fire, fatigue resistant design, and design for torsion have been included in a CD that accompanies the book.

    Industry experts Jacqueline Nolis and Emily Robinson lay out the soft skills you’ll need alongside your technical know-how in order to succeed in the field. Following their clear and simple instructions you’ll craft a resume that hiring managers will love, learn how to ace your interview, and ensure you hit the ground running in your first months at your new job. Once you’ve gotten your foot in the door, learn to thrive as a data scientist by handling high expectations, dealing with stakeholders, and managing failures. Finally, you’ll look towards the future and learn about how to join the broader data science community, leaving a job gracefully, and plotting your career path. With this book by your side you’ll have everything you need to ensure a rewarding and productive role in data science.

    We're going to do that by introducing you to Example.com, where you're going to start a new job as one of its SysAdmins. The first project you'll be in charge of is developing its new log management solution. We'll teach you how to:* Install and deploy LogStash.* Ship events from a LogStash Shipper to a central LogStash server.* Filter incoming events using a variety of techniques.* Output those events to a selection of useful destinations.* Use LogStash's Web interface and alternative interfaces like Kibana.* Scale out your LogStash implementation as your environment grows.* Quickly and easily extend LogStash to deliver additional functionality you might need.By the end of the book you should have a functional and effective log management solution that you can deploy into your own environment.