Introduction to Artificial Intelligence presents an introduction to the science of reasoning processes in computers, and the research approaches and results of the past two decades. You'll find lucid, easy-to-read coverage of problem-solving methods, representation and models, game playing, automated understanding of natural languages, heuristic search theory, robot systems, heuristic scene analysis and specific artificial-intelligence accomplishments. Related subjects are also included: predicate-calculus theorem proving, machine architecture, psychological simulation, automatic programming, novel software techniques, industrial automation and much more.A supplementary section updates the original book with major research from the decade 1974-1984. Abundant illustrations, diagrams and photographs enhance the text, and challenging practice exercises at the end of each chapter test the student's grasp of each subject.The combination of introductory and advanced material makes Introduction to Artificial Intelligence ideal for both the layman and the student of mathematics and computer science. For anyone interested in the nature of thought, it will inspire visions of what computer technology might produce tomorrow.

    The key, as the authors show, is to integrate regularly and often using continuous integration (CI) practices and techniques. The authors first examine the concept of CI and its practices from the ground up and then move on to explore other effective processes performed by CI systems, such as database integration, testing, inspection, deployment, and feedback. Through more than forty CI-related practices using application examples in different languages, readers learn that CI leads to more rapid software development, produces deployable software at every step in the development lifecycle, and reduces the time between defect introduction and detection, saving time and lowering costs. With successful implementation of CI, developers reduce risks and repetitive manual processes, and teams receive better project visibility. The book covers How to make integration a "non-event" on your software development projects How to reduce the amount of repetitive processes you perform when building your software Practices and techniques for using CI effectively with your teams Reducing the risks of late defect discovery, low-quality software, lack of visibility, and lack of deployable software Assessments of different CI servers and related tools on the market The book's companion Web site, www.integratebutton.com, provides updates and code examples

    Assuming a minimum of mathematical preparation, Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Four case studies illustrate applications of category theory to programming language design, semantics, and the solution of recursive domain equations. A brief literature survey offers suggestions for further study in more advanced texts.

    Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. "Introduction to Machine Learning" is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. It discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The book can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods.After an introduction that defines machine learning and gives examples of machine learning applications, the book covers supervised learning, Bayesian decision theory, parametric methods, multivariate methods, dimensionality reduction, clustering, nonparametric methods, decision trees, linear discrimination, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, combining multiple learners, and reinforcement learning.

    It discusses cloud concepts and highlights various design patterns and best practices. This documentation is offered for free here as a Kindle book, or you can read it in PDF format at https://aws.amazon.com/whitepapers/.

    There are many sources too for basic information on the extensions to the WWW that permit content to be expressed in natural language yet used by software agents to easily find, share and integrate information. Until now individuals engaged in creating ontologies-- formal descriptions of the concepts, terms, and relationships within a given knowledge domain-- have had no sources beyond the technical standards documents.Semantic Web for the Working Ontologist transforms this information into the practical knowledge that programmers and subject domain experts need. Authors Allemang and Hendler begin with solutions to the basic problems, but don't stop there: they demonstrate how to develop your own solutions to problems of increasing complexity and ensure that your skills will keep pace with the continued evolution of the Semantic Web.

    And since browser incompatibility is the biggest CSS headache for most developers, it also includes an invaluable chart displaying detailed information about CSS support for every style element across all browsers. For anyone who wants to correctly implement CSS, this book condenses all the details in its companion volume, "Cascading Style Sheets: The Definitive Guide," into one easy-to-use cheat-sheet.The "CSS Pocket Reference" delivers just the CSS details that you need to complete the task at hand. When you're stuck and want an answer quickly, the tiny "CSS Pocket Reference" is the book you'll want by your keyboard or in your back pocket. (Yes, it really does fit in a back pocket, but it's too useful to stay there long.)

    Perhaps you've taken on a larger project than the ones you're used to. Or you want to add a user interface or a networking component. Or you need to do more complicated error trapping.Whether your knowledge of Perl is casual or deep, this book will make you a more accomplished programmer. Here you can learn the complex techniques for production-ready Perl programs. This book explains methods for manipulating data and objects that may have looked like magic before. Furthermore, it sets Perl in the context of a larger environment, giving you the background you need for dealing with networks, databases, and GUIs. The discussion of internals helps you program more efficiently and embed Perl within C or C within Perl.Major topics covered include:Practical use of packages and classes (object-oriented programming) Complex data structures Persistence (e.g., using a database) Networking Graphical interfaces, using the Tk toolkit Interaction with C language functions Embedding and extending the Perl interpreterIn addition, the book patiently explains all sorts of language details you've always wanted to know more about, such as the use of references, trapping errors through the eval operator, non-blocking I/O, when closures are helpful, and using ties to trigger actions when data is accessed. You will emerge from this book a better hacker, and a proud master of Perl.

    Algorithm design techniques are also stressed and basic algorithm analysis is covered. Most of the programs are written in Pascal.

    It's aimed at developers who might not be quite comfortable with the idea of pointers and static typing.http://openmymind.net/The-Little-Go-B...

    It presents the principles, paradigms, designs and implementations of modern programming languages, and contains increased coverage of the object-oriented programming paradigm. The book also covers semantics and Java.

    How do you use it effectively? How do you harness the power? And, most important, how do you get high quality, real-world applications written?From the latest Ajax effects to time-saving automation tips for your development process, "Rails Recipes" will show you how the experts have already solved the problems you have.Use generators to automate repetitive coding tasks.Create sophisticated role-based authentication schemes.Add live search and live preview to your site.Run tests when anyone checks code in.How to create tagged data the right way.and many, many more...Owning "Rails Recipes" is like having the best Rails programmers sitting next to you while you code.

    A classic text by the author who developed ELIZA, a natural-language processing system.

    You need to stay current on the relevant Web specifications, like HTML, CSS, DOM, and ECMAScript. You also need to know how the latest Web browsers from Netscape and Microsoft actually implement these standards, since browser implementations of the standards are less than perfect. Right now, you're forced to keep multiple reference books open on your desk (or multiple browser windows open on your screen), just to develop a simple dynamic Web page that works properly under both Navigator and Internet Explorer.Dynamic HTML: The Definitive Reference changes all that. This book is an indispensable compendium for Web content developers. It contains everything you need to create functional cross-platform Web applications, including:A complete reference for all of the HTML tags, CSS style attributes, browser document objects, and JavaScript objects supported by the various standards and the latest versions of Navigator and Internet Explorer. Browser compatibility is emphasized throughout; the reference pages clearly indicate browser support for every entity. Handy cross-reference indexes that make it easy to find interrelated HTML tags, style attributes, and document objects. An advanced introduction to creating dynamic Web content that addresses the cross-platform compromises inherent in Web page design today. If you have some experience with basic Web page creation, but are new to the world of dynamic content, Dynamic HTML: The Definitive Reference will jump-start your development efforts. If you are an experienced Web programmer, you'll find the browser-compatibility information invaluable. This book is the only DHTML reference that a Web developer needs.Dynamic HTML: The Definitive Reference is designed to work in conjunction with HTML: The Definitive Guide and JavaScript: The Definitive Guide. HTML: The Definitive Guide teaches you about every element of HTML in detail, with explanations of how each element works and how it interacts with other elements, as well as numerous examples. JavaScript: The Definitive Guide provides a thorough description of the JavaScript language, complete with sophisticated examples that show you how to handle common Web application tasks. Together, these three books provide a complete library for Web content developers.