Siracusa's overview, wrap-up, and critique of everything new in OS X 10.10 Yosemite.

    The focus of this text is to solve real-world problems using the latest AI techniques. Intelligent systems like expert systems, fuzzy systems, artificial neural networks, genetic algorithms and ant colony systems are discussed in detail with case studies to facilitate in- depth understanding. Since the ultimate goal of AI is the construction of programs to solve problems, an entire chapter has been devoted to the programming languages used in AI problem solving. The theory is well supported by a large number of illustrations and end-chapter exercises. With its comprehensive coverage of the subject in a clear and concise manner this text would be extremely useful not only for undergraduate students, but also to postgraduate students.

    Maybe you re going for MCSA first, then MCSE. Maybe you need to upgrade your current credentials. Now, direct from Microsoft, this set brings together all the study resources you ll need. You get the brand-new Second Edition of all four books: for Exam 70-290 (Managing and Maintaining a Windows Server Environment), 70-291 and 70-293 (Network Infrastructure), and 70-294 (Active Directory). What s new here? Deeper coverage, more case studies, more troubleshooting, plus significant new coverage: Emergency Management Services, DNS, WSUS, Post-Setup Security Updates, traffic monitoring, Network Access Quarantine Control, and much more. There are more than 1,200 highly customizable CD-based practice questions. And, for those who don t have easy acess to Windows Server 2003, there s a 180-day eval version. This package isn t cheap, but there s help there, too: 15% discount coupons good toward all four exams. Bill Camarda, from the August 2006 href="http://www.barnesandnoble.com/newslet... Only

    This book teaches basic Artificial Intelligence algorithms such as dimensionality, distance metrics, clustering, error calculation, hill climbing, Nelder Mead, and linear regression. These are not just foundational algorithms for the rest of the series, but are very useful in their own right. The book explains all algorithms using actual numeric calculations that you can perform yourself. Artificial Intelligence for Humans is a book series meant to teach AI to those without an extensive mathematical background. The reader needs only a knowledge of basic college algebra or computer programming—anything more complicated than that is thoroughly explained. Every chapter also includes a programming example. Examples are currently provided in Java, C#, R, Python and C. Other languages planned.

    The text converts all programming code into the C++ language.

    This book not only examines content creation and the concepts behind development, but it also give readers a background on the evolution of game development and how it has become what it is today. GAME DEVELOPMENT ESSENTIALS also includes chapters on project management, development team roles and responsibilities, development cycle, marketing, maintenance, and the future of game development. With the same engaging writing style and examples that made the first two editions so popular, this new edition features all the latest games and game technology. Coverage of new game-related technology, development techniques, and the latest research in the field make this an invaluable resource for anyone entering the exciting, competitive, ever-changing world of game development.

    Written by experts who rank among the world's foremost Android security researchers, this book presents vulnerability discovery, analysis, and exploitation tools for the good guys. Following a detailed explanation of how the Android OS works and its overall security architecture, the authors examine how vulnerabilities can be discovered and exploits developed for various system components, preparing you to defend against them.If you are a mobile device administrator, security researcher, Android app developer, or consultant responsible for evaluating Android security, you will find this guide is essential to your toolbox.A crack team of leading Android security researchers explain Android security risks, security design and architecture, rooting, fuzz testing, and vulnerability analysis Covers Android application building blocks and security as well as debugging and auditing Android apps Prepares mobile device administrators, security researchers, Android app developers, and security consultants to defend Android systems against attack Android Hacker's Handbook is the first comprehensive resource for IT professionals charged with smartphone security.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    Turing Mathematician Alan Turing invented an imaginary computer known as the Turing Machine; in an age before computers, he explored the concept of what it meant to be "computable," creating the field of computability theory in the process, a foundation of present-day computer programming.The book expands Turing's original 36-page paper with additional background chapters and extensive annotations; the author elaborates on and clarifies many of Turing's statements, making the original difficult-to-read document accessible to present day programmers, computer science majors, math geeks, and others.Interwoven into the narrative are the highlights of Turing's own life: his years at Cambridge and Princeton, his secret work in cryptanalysis during World War II, his involvement in seminal computer projects, his speculations about artificial intelligence, his arrest and prosecution for the crime of "gross indecency," and his early death by apparent suicide at the age of 41.

    Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks.Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data--or anything in between--this guide makes it easier to understand and implement machine learning seamlessly.Grasp how day-to-day activities are powered by machine learning Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis Learn to code in R using R Studio Find out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!

    The rapid maturation of PHP has created a skeptical population of users from more traditional enterprise languages who question the readiness and ability of PHP to scale, as well as a large population of PHP developers without formal computer science backgrounds who have learned through the hands-on experimentation while developing small and midsize applications in PHP. While there are many books on learning PHP and developing small applications with it, there is a serious lack of information on scaling PHP for large-scale, business-critical systems. Schlossnagle's Advanced PHP Programming fills that void, demonstrating that PHP is ready for enterprise Web applications by showing the reader how to develop PHP-based applications for maximum performance, stability, and extensibility.

    

    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.

    Now, Core JavaServer™ Faces–the #1 guide to JSF–has been thoroughly updated in this second edition, covering the latest feature enhancements, the powerful Ajax development techniques, and open source innovations that make JSF even more valuable. Authors David Geary and Cay Horstmann delve into all facets of JSF 1.2 development, offering systematic best practices for building robust applications, minimizing handcoding, and maximizing productivity. Drawing on unsurpassed insider knowledge of the Java platform, they present solutions, hints, tips, and “how-tos” for writing superior JSF 1.2 production code, even if you’re new to JSF, JavaServer Pages™, or servlets.The second edition’s extensive new coverage includes: JSF 1.2’s improved alignment with the broader Java EE 5 platform; enhancements to the JSF APIs; controlling Web flow with Shale; and using Facelets to replace JSP with XHTML markup. The authors also introduce Ajax development with JSF–from real-time validation and Direct Web Remoting to wrapping Ajax in JSF components and using the popular Ajax4jsf framework.This book will help you Automate low-level details and eliminate unnecessary complexity in server-side development Discover JSF best practices, ranging from effective UI design and style sheets to internationalization Use JSF with Tiles to build consistent, reusable user interfaces Leverage external services such as databases, LDAP directories, authentication/authorization, and Webservices Use JBoss Seam to greatly simplify development of database-backed applications Implement custom components, converters, and validators Master the JSF 1.2 tag libararies, and extend JSF with additional tag libraries Preface Acknowledgments Chapter 1: Getting Started Chapter 2: Managed Beans Chapter 3: Navigation Chapter 4: Standard JSF Tags Chapter 5: Data Tables Chapter 6: Conversion and Validation Chapter 7: Event Handling Chapter 8: Subviews and Tiles Chapter 9: Custom Components, Converters, and Validators Chapter 10: External Services Chapter 11: Ajax Chapter 12: Open Source Chapter 13: How Do I . . . Index

    Unfortunately, most programmers frequently have a limited understanding of these essential mathematics and physics concepts. MATHEMATICS AND PHYSICS FOR PROGRAMMERS, THIRD EDITION provides a simple but thorough grounding in the mathematics and physics topics that programmers require to write algorithms and programs using a non-language-specific approach. Applications and examples from game programming are included throughout, and exercises follow each chapter for additional practice. The book's companion website provides sample code illustrating the mathematical and physics topics discussed in the book.