Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.

    This book will help those familiar the command line and basic shell scripting start using Ansible to provision and manage anywhere from one to thousands of servers.The book begins with fundamentals, like installing Ansible, setting up a basic inventory file, and basic concepts, then guides you through Ansible's many uses, including ad-hoc commands, basic and advanced playbooks, application deployments, custom modules, and special cases like running ansible in 'pull' mode when you have thousands of servers to manage (or more). Everything is explained with pertinent real-world examples, often using Vagrant-managed virtual machines.

    If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    With more than 250 ready-to-use recipes and 700 code examples, this comprehensive cookbook covers the most common problems you’ll encounter when using the Scala language, libraries, and tools. It’s ideal not only for experienced Scala developers, but also for programmers learning to use this JVM language.Author Alvin Alexander (creator of DevDaily.com) provides solutions based on his experience using Scala for highly scalable, component-based applications that support concurrency and distribution. Packed with real-world scenarios, this book provides recipes for:Strings, numeric types, and control structuresClasses, methods, objects, traits, and packagingFunctional programming in a variety of situationsCollections covering Scala's wealth of classes and methodsConcurrency, using the Akka Actors libraryUsing the Scala REPL and the Simple Build Tool (SBT)Web services on both the client and server sidesInteracting with SQL and NoSQL databasesBest practices in Scala development

    Tracing the rise, fall, and alarming resurrection of the digital mafia behind the two largest spam pharmacies and countless viruses, phishing, and spyware attacks he delivers the first definitive narrative of the global spam problem and its threat to consumers everywhere.Blending cutting-edge research, investigative reporting, and firsthand interviews, this terrifying true story reveals how we unwittingly invite these digital thieves into our lives every day. From unassuming computer programmers right next door to digital mobsters like "Cosma" who unleashed a massive malware attack that has stolen thousands of Americans' logins and passwords, Krebs uncovers the shocking lengths to which these people will go to profit from our data and our wallets.Not only are hundreds of thousands of Americans exposing themselves to fraud and dangerously toxic products from rogue online pharmacies, but even those who never open junk messages are at risk. As Krebs notes, spammers can—and do—hack into accounts through these emails, harvest personal information like usernames and passwords, and sell them on the digital black market. The fallout from this global epidemic doesn't just cost consumers and companies billions, it costs lives too.Fast-paced and utterly gripping, Spam Nation ultimately proposes concrete solutions for protecting ourselves online and stemming this tidal wave of cybercrime, before it's too late."Krebs's talent for exposing the weaknesses in online security has earned him respect in the IT business and loathing among cybercriminals. His track record of scoops has helped him become the rare blogger who supports himself on the strength of his reputation for hard-nosed reporting." Bloomberg Businessweek

    This logic extends far beyond the realm of computer science and into the wide and entertaining world of puzzles. In Algorithmic Puzzles, Anany and Maria Levitin use many classic brainteasers as well as newer examples from job interviews with major corporations to show readers how to apply analytical thinking to solve puzzles requiring well-defined procedures.The book's unique collection of puzzles is supplemented with carefully developed tutorials on algorithm design strategies and analysis techniques intended to walk the reader step-by-step through the various approaches to algorithmic problem solving. Mastery of these strategies--exhaustive search, backtracking, and divide-and-conquer, among others--will aid the reader in solving not only the puzzles contained in this book, but also others encountered in interviews, puzzle collections, and throughout everyday life. Each of the 150 puzzles contains hints and solutions, along with commentary onthe puzzle's origins and solution methods. The only book of its kind, Algorithmic Puzzles houses puzzles for all skill levels. Readers with only middle school mathematics will develop their algorithmic problem-solving skills through puzzles at the elementary level, while seasoned puzzle solvers will enjoy the challenge of thinking throughmore difficult puzzles.

    WE ARE ANONYMOUS is the first full account of how a loosely assembled group of hackers scattered across the globe formed a new kind of insurgency, seized headlines, and tortured the feds-and the ultimate betrayal that would eventually bring them down. Parmy Olson goes behind the headlines and into the world of Anonymous and LulzSec with unprecedented access, drawing upon hundreds of conversations with the hackers themselves, including exclusive interviews with all six core members of LulzSec. In late 2010, thousands of hacktivists joined a mass digital assault on the websites of VISA, MasterCard, and PayPal to protest their treatment of WikiLeaks. Other targets were wide ranging-the websites of corporations from Sony Entertainment and Fox to the Vatican and the Church of Scientology were hacked, defaced, and embarrassed-and the message was that no one was safe. Thousands of user accounts from pornography websites were released, exposing government employees and military personnel.Although some attacks were perpetrated by masses of users who were rallied on the message boards of 4Chan, many others were masterminded by a small, tight-knit group of hackers who formed a splinter group of Anonymous called LulzSec. The legend of Anonymous and LulzSec grew in the wake of each ambitious hack. But how were they penetrating intricate corporate security systems? Were they anarchists or activists? Teams or lone wolves? A cabal of skilled hackers or a disorganized bunch of kids?WE ARE ANONYMOUS delves deep into the internet's underbelly to tell the incredible full story of the global cyber insurgency movement, and its implications for the future of computer security.

    On the other hand, if you're not well versed in the theory, you can fall into several traps. In SQL and Relational Theory, author C.J. Date demonstrates how you can apply relational theory directly to your use of SQL. With numerous examples and clear explanations of the reasoning behind them, you'll learn how to deal with common SQL dilemmas, such as:Should database access granted be through views instead of base tables? Nulls in your database are causing you to get wrong answers. Why? What can you do about it? Could you write an SQL query to find employees who have never been in the same department for more than six months at a time? SQL supports "quantified comparisons," but they're better avoided. Why? How do you avoid them? Constraints are crucially important, but most SQL products don't support them properly. What can you do to resolve this situation? Database theory and practice have evolved since Edgar Codd originally defined the relational model back in 1969. Independent of any SQL products, SQL and Relational Theory draws on decades of research to present the most up-to-date treatment of the material available anywhere. Anyone with a modest to advanced background in SQL will benefit from the many insights in this book.

    However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques that allow programmers to develop their own functional data structures. The author includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs are easily adaptable to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.

    Lambda enables users to develop code that executes in response to events - API calls, file uploads, schedules, etc - and upload it without worrying about managing traditional server metrics such as disk space, memory, or CPU usage. With its "per execution" cost model, Lambda can enable organizations to save hundreds or thousands of dollars on computing costs. With in-depth walkthroughs, large screenshots, and complete code samples, the reader is guided through the step-by-step process of creating new functions, responding to infrastructure events, developing API backends, executing code at specified intervals, and much more. Introduction to AWS Computing Evolution of the Computing Workload Lambda Background The Internals The Basics Functions Languages Resource Allocation Getting Set Up Hello World Uploading the Function Working with Events AWS Events Custom Events The Context Object Properties Methods Roles and Permissions Policies Trust Relationships Console Popups Cross Account Access Dependencies and Resources Node Modules OS Dependencies OS Resources OS Commands Logging Searching Logs Testing Your Function Lambda Console Tests Third-Party Testing Libraries Simulating Context Hello S3 Object The Bucket The Role The Code The Event The Trigger Testing When Lambda Isn’t the Answer Host Access Fine-Tuned Configuration Security Long-Running Tasks Where Lambda Excels AWS Event-Driven Tasks Scheduled Events (Cron) Offloading Heavy Processing API Endpoints Infrequently Used Services Real-World Use Cases S3 Image Processing Shutting Down Untagged Instances Triggering CodeDeploy with New S3 Uploads Processing Inbound Email Enforcing Security Policies Detecting Expiring Certificates Utilizing the AWS API Execution Environment The Code Pipeline Cold vs. Hot Execution What is Saved in Memory Scaling and Container Reuse From Development to Deployment Application Design Development Patterns Testing Deployment Monitoring Versioning and Aliasing Costs Short Executions Long-Running Processes High-Memory Applications Free Tier Calculating Pricing CloudFormation Reusable Template with Minimum Permissions Cross Account Access CloudWatch Alerts AWS API Gateway API Gateway Event Creating the Lambda Function Creating a New API, Resource, and Method Initial Configuration Mapping Templates Adding a Query String Using HTTP Request Information Within Lambda Deploying the API Additional Use Cases Lambda Competitors Iron.io StackHut WebTask.io Existing Cloud Providers The Future of Lambda More Resources Conclusion

    Written for 11- to 15-year-olds and assuming no prior computing knowledge, this book uses the wildly successful, low-cost, credit-card-sized Raspberry Pi computer to explain fundamental computing concepts. Young people will enjoy going through the book's nine fun projects while they learn basic programming and system administration skills, starting with the very basics of how to plug in the board and turn it on. Each project includes a lively and informative video to reinforce the lessons. It's perfect for young, eager self-learners—your kids can jump in, set up their Raspberry Pi, and go through the lessons on their own. Written by Carrie Anne Philbin, a high school teacher of computing who advises the U.K. government on the revised ICT Curriculum Teaches 11- to 15-year-olds programming and system administration skills using Raspberry Pi Features 9 fun projects accompanied by lively and helpful videos Raspberry Pi is a $35/£25 credit-card-sized computer created by the non-profit Raspberry Pi Foundation; over a million have been sold Help your children have fun and learn computing skills at the same time with Adventures in Raspberry Pi.

    Readers will progress from building a basic physics engine to creating intelligent moving objects and complex systems, setting the foundation for further experiments in generative design. Subjects covered include forces, trigonometry, fractals, cellular automata, self-organization, and genetic algorithms. The book's examples are written in Processing, an open-source language and development environment built on top of the Java programming language. On the book's website (http://www.natureofcode.com), the examples run in the browser via Processing's JavaScript mode.

    It is an unabashed look at the dark side of the Net--the stuff many other books gloss over. It's hard-edged, wisecracking, and often quite cynical as it pours over the reality of online scams, illegal activities, and simple annoyances. Wang's stated goal is to open the reader's eyes about what's really there. He shows what's being done, how it's being done, and how to avoid problems or even strike back. He begins with a chapter about the news media, and his message is that no source is to be trusted completely. He examines issues important to Internet users: the cost of getting computerized (with tips on how to find the real bargains), who is using the Internet as a source of hate information, and how your privacy can be invaded and protected. He shows you the secrets of malicious hackers and others and how some of them attack computer systems without the ethical mindset typical of the original, idealistic hackers. Wang shows you how you can set up your defenses against such an onslaught, discussing how to protect yourself and your kids from online stalkers and how online con games work. Wang never claims that the Internet is the electronic den of darkness that the pop media make it out to be. But he makes it clear that something this big has its lowlights--it's own "net noir." His messages are "know your enemy" and "be careful who you trust," an ideology verified by the examples he provides. --Elizabeth Lewis This offbeat, non-technical book examines what hackers do, how they do it, and how readers can protect themselves. Informative, irreverent, and entertaining, the completely revised fourth edition of Steal This Computer Book contains new chapters that discuss the hacker mentality, lock picking, exploiting P2P file sharing networks, and how people manipulate search engines and pop-up ads. Includes a CD with hundreds of megabytes of hack

    It provides a compact, readable introduction to Git for new users, as well as a reference to common commands and procedures for those of you with Git experience.Written for Git version 1.8.2, this handy task-oriented guide is organized around the basic version control functions you need, such as making commits, fixing mistakes, merging, and searching history.Examine the state of your project at earlier points in timeLearn the basics of creating and making changes to a repositoryCreate branches so many people can work on a project simultaneouslyMerge branches and reconcile the changes among themClone an existing repository and share changes with push/pull commandsExamine and change your repository’s commit historyAccess remote repositories, using different network protocolsGet recipes for accomplishing a variety of common tasks