With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

    What You Will Learn - Write clean and maintainable code - Create reusable components applying consolidated techniques - Use React effectively in the browser and node - Choose the right styling approach according to the needs of the applications - Use server-side rendering to make applications load faster - Build high-performing applications by optimizing components In Detail Taking a complete journey through the most valuable design patterns in React, this book demonstrates how to apply design patterns and best practices in real-life situations, whether that's for new or already existing projects. It will help you to make your applications more flexible, perform better, and easier to maintain - giving your workflow a huge boost when it comes to speed without reducing quality. We'll begin by understanding the internals of React before gradually moving on to writing clean and maintainable code. We'll build components that are reusable across the application, structure applications, and create forms that actually work. Then we'll style React components and optimize them to make applications faster and more responsive. Finally, we'll write tests effectively and you'll learn how to contribute to React and its ecosystem. By the end of the book, you'll be saved from a lot of trial and error and developmental headaches, and you will be on the road to becoming a React expert. Style and approach The design patterns in the book are explained using real-world, step-by-step examples. For each design pattern, there are hints about when to use it and when to look for something more suitable. This book can also be used as a practical guide, showing you how to leverage design patterns.

    The science of complexity studies how single elements, such as a species or a stock, spontaneously organize into complicated structures like ecosystems and economies; stars become galaxies, and snowflakes avalanches almost as if these systems were obeying a hidden yearning for order. Drawing from diverse fields, scientific luminaries such as Nobel Laureates Murray Gell-Mann and Kenneth Arrow are studying complexity at a think tank called The Santa Fe Institute. The revolutionary new discoveries researchers have made there could change the face of every science from biology to cosmology to economics. M. Mitchell Waldrop's groundbreaking bestseller takes readers into the hearts and minds of these scientists to tell the story behind this scientific revolution as it unfolds.

    You'll also receive updates when significant changes are made, as well as the final ebook version. Embedded Android is for Developers wanting to create embedded systems based on Android and for those wanting to port Android to new hardware, or creating a custom development environment. Hackers and moders will also find this an indispensible guide to how Android works.

    THIS BOOK has been written to cover BOTH the current ("2nd generation") Kindle Fire HD, AND the earlier ("1st Generation") Kindle Fire HD.<br><br></h2><br><br><h2>"Fantastic..." "Great Help..." "Easy for a non-geek to understand." -Actual reviewer comments for Kindle Fire HD Tips, Tricks, and Traps: A How-To Tutorial for the Kindle Fire HD</h2><br><i><br>"Fantastic! I searched and searched for a source to help me better understand my new Kindle. I was about to give up and then I found this book. I have discovered so many tips and tricks! I am enjoying my Kindle so much more!"<br><br>"Easy for a non-geek to understand. Thanks for writing a book that I can understand. Very basic guide to the kindle fire that is easy to follow and makes it easy to implement any suggestions offered. The directions given matched what is actually on my kindle fire. I have read a couple of books that were supposedly updated for late 2012 or for January 2013 that gave instructions for actions on my kindle fire that didn't match what I see on my device bough in December 2012. This is hugely frustrating to a tech novice. This book told me exactly where to go and what to do."<br><br>"Great help. This was a big help with my first venture in tablet land. A lot of good ideas. A must read for any kindle user."<br></i><br><br>So, you've got a Kindle Fire as a gift, or perhaps you bit the purchase bullet on your own because you wanted this impressive tablet. Do you want to get the most out of your new Kindle Fire HD? If you are looking for a top-notch tutorial at a reasonable cost, you've come to the right place! Here is the book that will teach you 100% of what you need to know. <b>Kindle Fire HD Tips, Tricks, and Traps: A How-To Tutorial for the Kindle Fire HD</b> is your detailed guide to getting the maximum benefit from your Kindle Fire HD.<br>In this comprehensive guide, you'll learn tips (ways to effectively use your Kindle Fire), tricks (ways to improve the operation of your Kindle Fire), and traps (things to avoid to prevent problems while using your Kindle Fire). You will learn-<br><br>• How to get around within the user interface, the home screen, and the carousel more efficiently<br><br>• How to make your Kindle Fire your own, customizing its display and operation for fastest and easiest use<br><br>• How to find THOUSANDS of FREE books, as well as movies and songs, for your Kindle Fire<br><br>• How to setup the security options to protect your account information<br><br>• How you can move your iTunes or other music library to your Kindle Fire<br><br>• How you can download YouTube videos to your Kindle Fire<br><br>* How to use the built-in camera and the new camera app provided by Amazon in a late 2012 software update<br><br>• Suggested apps that no Kindle Fire owner should be without<br><br>You will learn all of the above and more, with Kindle Fire Tips, Tricks, and Traps: A How-To Tutorial for the Kindle Fire HD as a part of your library.

    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.

    Sipser's candid, crystal-clear style allows students at every level to understand and enjoy this field. His innovative "proof idea" sections explain profound concepts in plain English. The new edition incorporates many improvements students and professors have suggested over the years, and offers updated, classroom-tested problem sets at the end of each chapter.

    This book is going to provide you with everything you need to know about Ethereum and whether it is worth investing in now. Like many people, I became interested in Bitcoin years ago, when Bitcoin was still relatively new, but hinting at a huge profit margin for those who took the risk and invested. It was after a couple of years playing around on the Bitcoin market that I heard about a new type of blockchain technology, one that wasn’t just a digital form of payment, but one that could support potentially endless different types of applications. Not only that, but it comes with its own currency. This, to me, sounded like a potentially profitable situation, so I decided to dig a little deeper. Unlike Bitcoin, Ethereum is still largely unknown to those who don’t keep up with the cryptocurrency world, so the amount of information available is limited or highly technical. Still, it was fascinating and the more I read about Ethereum, the more I began to see its huge potential. And I’m not alone. More and more Fortune 500 companies are investing in Ethereum technology as it becomes increasingly lucrative and poises to change business processes as we know them. I decided to condense my research and share my knowledge on Ethereum by writing this book. The book is designed for those who are new to cryptocurrency, but want to invest in it or learn more about it, as well as for more experienced traders looking to expand their portfolios. With a 5,000% increase in value in the first few months of 2017, Ethereum is proving to be a profitable currency. Still, as it is so new – it was only launched in 2015 – it comes with many infancy-related risks. It’s partly this that makes it so exciting. This book will help you make your own investment decisions and decide if Ethereum is the right coin for you after weighing up the pros and cons that are presented here. So far, Ethereum has made me good money and I was lucky to make the investment when I did. However, now is not too late to invest, not by a long shot. In fact, now is the perfect moment to make the most of Ethereum’s infancy and gain potential first-mover advantages. Ethereum’s technology is only at the beginning of its potential growth stages, possibly reaching to dozens of industries and thousands of services. If its technology is adopted the way it is expected to be, Ethereum will enjoy a long and lucrative spot at the top. The profits are ripe for the taking. Here Is A Preview Of What’s Included… What Is Ethereum? Smart Contracts, Dapps, And DAOs The Technology Behind Ethereum What Is Ethereum Mining? Uses Of Ethereum What Is Ether? The Financial History Of Ether How to Buy, Sell, And Store Ether The Mining Process Of Ether Should I Invest In Ether? The Future Of Ethereum Much, Much More! Get your copy today!

    Many accounts of the birth of personal computing have been written, but this is the first close look at the drug habits of the earliest pioneers." --New York TimesMost histories of the personal computer industry focus on technology or business. John Markoff's landmark book is about the culture and consciousness behind the first PCs--the culture being counter- and the consciousness expanded, sometimes chemically. It's a brilliant evocation of Stanford, California, in the 1960s and '70s, where a group of visionaries set out to turn computers into a means for freeing minds and information. In these pages one encounters Ken Kesey and the phone hacker Cap'n Crunch, est and LSD, The Whole Earth Catalog and the Homebrew Computer Lab. What the Dormouse Said is a poignant, funny, and inspiring book by one of the smartest technology writers around.

    Since that time, this text has been revised, tweaked, and enhanced to account for the changes found within each release of the .NET platform (1.1, 2.0, 3.0 and now 3.5)..NET 3.0 was more of an augmentative release, essentially providing three new APIs: Windows Presentation Foundation (WPF), Windows Communication Foundation (WCF) and Windows Workflow Foundation (WF). As you would expect, coverage of the "W's" has been expanded a great deal in this version of the book from the previous Special Edition text.Unlike .NET 3.0, .NET 3.5 provides dozens of C# language features and .NET APIs. This edition of the book will walk you through all of this material using the same readable approach as was found in previous editions. Rest assured, you'll find detailed coverage of Language Integrated Query (LINQ), the C# 2008 language changes (automatic properties, extension methods, anonymous types, etc.) and the numerous bells and whistles of Visual Studio 2008. What you'll learn Everything you need to knowget up to speed with C# 2008 quickly and efficiently. Discover all the new .NET 3.5 featuresLanguage Integrated Query, anonymous types, extension methods, automatic properties, and more. Get a professional footholdtargeted to appeal to experienced software professionals, this book gives you the facts you need the way you need to see them. A rock-solid foundationfocuses on everything you need to be a successful .NET 3.5 programmer, not just the new features. Get comfortable with all the core aspects of the platform including assemblies, remoting, Windows Forms, Web Forms, ADO.NET, XML web services, and much more. Who this book is forIf you're checking out this book for the first time, understand that it targets experienced software professionals and/or students of computer science (so please don't expect three chapters devoted to "for" loops). The mission of this text is to provide you with a rock-solid foundation to the C# 2008 programming language and the core aspects of the .NET platform (object-oriented programming, assemblies, file IO, Windows Forms/WPF, ASP.NET, ADO.NET, WCF, WF, etc.). Once you digest the information presented in these 33 chapters, you'll be in a perfect position to apply this knowledge to your specific programming assignments, and you'll be well equipped to explore the .NET universe on your own terms. "

    I asked other people and they didn't seem to know how these things work, or at least they couldn't explain them in a way that I could understand. Counter Hack Reloaded is the clearest explanation of these tools I have ever seen. Thank you!" --Stephen Northcutt, CEO, SANS Institute "Ed Skoudis does it again! With this new edition, Ed takes a phenomenal work to the next level! This book is a 'must-have' and a 'must-read' for anyone remotely associated with computers and computer security." --Harlan Carvey, CISSP, author of Windows Forensics and Incident Recovery "Ed Skoudis is a rare individual. He knows the innards of all the various systems, knows all the latest exploits and defenses, and yet is able to explain everything at just the right level. The first edition of Counter Hack was a fascinating read. It's technically intriguing and very clear. . . . A book on vulnerabilities, though, will get out of date, and so we definitely needed this updated and significantly rewritten second edition. This book is a wonderful overview of the field." --From the Foreword by Radia Perlman, series editor, The Radia Perlman Series in Computer Networking and Security; author of Interconnections; and coauthor of Network Security: Private Communications in a Public World "What a great partnership! Ed Skoudis and Tom Liston share an uncanny talent for explaining even the most challenging security concepts in a clear and enjoyable manner. Counter Hack Reloaded is an indispensable resource for those who want to improve their defenses and understand the mechanics of computer attacks." --Lenny Zeltser, coauthor of Malware: Fighting Malicious Code "Ed Skoudis does it again! With this new edition, Ed takes a phenomenal work to the next level! This book is a 'must-have' and a 'must-read' for anyone remotely associated with computers and computer security." --Harlan Carvey, CISSP, author of Windows Forensics and Incident Recovery "In addition to having breadth of knowledge about and probing insights into network security, Ed Skoudis's real strength is in his ability to show complex topics in an understandable form. By the time he's done, what started off as a hopeless conglomeration of acronyms starts to sound comfortable and familiar. This book is your best source for understanding attack strategies, attack tools, and the defenses against both." --William Stearns, network security expert, www.stearns.org "This book is a must-have for anyone in the Internet security game. It covers everything from the basic principles to the fine details of online attack methods and counter-strategies and is very engagingly written." --Warwick Ford, coauthor of Secure Electronic Commerce For years, Counter Hack has been the primary resource for every network/system administrator and security professional who needs a deep, hands-on understanding of hacker attacks and countermeasures. Now, leading network security expert Ed Skoudis, with Tom Liston, has thoroughly updated this best-selling guide, showing how to defeat today's newest, most sophisticated, and most destructive attacks.For this second edition, more than half the content is new and updated, including coverage of the latest hacker techniques for scanning networks, gaining and maintaining access, and preventing detection. The authors walk you through each attack and demystify every tool and tactic. You'll learn exactly how to establish effective defenses, recognize attacks in progress, and respond quickly and effectively in both UNIX/Linux and Windows environments.Important features of this new edition includeAll-new "anatomy-of-an-attack" scenarios and tools An all-new section on wireless hacking: war driving, wireless sniffing attacks, and more Fully updated coverage of reconnaissance tools, including Nmap port scanning and "Google hacking" New coverage of tools for gaining access, including uncovering Windows and Linux vulnerabilities with Metasploit New information on dangerous, hard-to-detect, kernel-mode rootkits

    Blockchain protocols are taking the world by storm, and the Ethereum project, with its Turing-complete scripting language Solidity, has rapidly become a front-runner. This book presents the blockchain phenomenon in context; then situates Ethereum in a world pioneered by Bitcoin.See why professionals and non-professionals alike are honing their skills in smart contract patterns and distributed application development. You'll review the fundamentals of programming and networking, alongside its introduction to the new discipline of crypto-economics. You'll then deploy smart contracts of your own, and learn how they can serve as a back-end for JavaScript and HTML applications on the Web.Many Solidity tutorials out there today have the same flaw: they are written for "advanced" JavaScript developers who want to transfer their skills to a blockchain environment. Introducing Ethereum and Solidity is accessible to technology professionals and enthusiasts of all levels. You'll find exciting sample code that can move forward real world assets in both the academic and the corporate arenas. Find out now why this book is a powerful gateway for creative technologists of all types, from concept to deployment.What You'll LearnSee how Ethereum (and other cryptocurrencies) workCompare distributed apps (dapps) to web appsWrite Ethereum smart contracts in Solidity Connect Ethereum smart contracts to your HTML/CSS/JavaScript web applicationsDeploy your own dapp, coin, and blockchainWork with basic and intermediate smart contractsWho This Book Is For Anyone who is curious about Ethereum or has some familiarity with computer science Product managers, CTOs, and experienced JavaScript programmersExperts will find the advanced sample projects in this book rewarding because of the power of Solidity

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    It has made countless new businesses possible and presents a massive opportunity for large enterprises to innovate like startups and retire decades of technical debt. But making the most of the cloud requires much more from enterprises than just a technology change. Stephen Orban led Dow Jones’s journey toward digital agility as their CIO and now leads AWS’s Enterprise Strategy function, where he helps leaders from the largest companies in the world transform their businesses. As he demonstrates in this book, enterprises must re-train their people, evolve their processes, and transform their cultures as they move to the cloud. By bringing together his experiences and those of a number of business leaders, Orban shines a light on what works, what doesn’t, and how enterprises can transform themselves using the cloud.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.