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Books : Computers & Internet : Computer Science : Artificial Intelligence : Neural Networks
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Completely revised and updated, this text provides thorough preparation for CompTIA?s Network+ examination, and acts as a perfect text for an introduction to networking course.
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During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book.
This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for ``wide'' data (p bigger than n), including multiple testing and false discovery rates.
Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
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Guide to Networking Essentials, Fifth Edition has been revised and provides a baseline level of knowledge for success in industry and preparation for networking certifications, including the MCSA, MCSE, CNA and CCNA designations. This new edition has been updated to cover new industry topics such as Networked Attached Storage (NAS), Cable Installation and Management, as well as, Fixed and Mobile WiMAX. Written with a focus on networking operating systems, this book continues to provide up-to-date coverage of Microsoft Windows XP and Server 2003 technologies along with UNIX, Red Hat Linux, and Novell Netware operating systems.
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Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.
The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.
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Neuro-linguistic programming, or NLP, is one of the hottest self-help techniques today, linking a person’s psychological experience with its corresponding effect on the nervous system. Teach Yourself NLP begins with the basic theory and fundamentals of NLP and then introduces readers to practical techniques designed to help them improve both their professional and personal lives.
With the help of this guide, the reader can identify his or her shortcomings and use tried-and-true methods to overcome them—from quitting bad habits, to losing weight, to communicating with others more personally and confidently.
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This exciting addition to the McGraw-Hill Series in Computer Science focuses on the concepts and techniques that contribute to the rapidly changing field of machine learning--including probability and statistics, artificial intelligence, and neural networks--unifying them all in a logical and coherent manner. Machine Learning serves as a useful reference tool for software developers and researchers, as well as an outstanding text for college students.
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A hands-on guide to planning, designing, installing and configuring wireless LANs that prepares students for the Certified Wireless Network Administrator (CWNA) certification. This second edition offers in-depth coverage of wireless networks with extensive step-by-step coverage of IEEE 802.11b/a/g/pre-n implementation, design, security, and troubleshooting. Material is reinforced with hands-on projects at the end of each chapter from two of the principal wireless LAN vendors, Cisco and Linksys, giving the flexibility for this course to be taught in either a classroom or as an online course.”
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Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.
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Prepares users for the Red Hat Certified Technician (RHCT) Certification, Linux Professional Institute (LPI) Certification, and SAIR/GNU Linux Certified Administrator (LCA) Certification.
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Microsoft's .NET is revolutionizing Windows-based software development. Since its initial release in 2002, .NET has changed significantly, becoming the foundation for a new generation of Windows applications. The .NET Framework and Visual Studio, the two core aspects of this initiative, provide a multilanguage environment in which developers can create Web services, graphical user interfaces, and other kinds of applications. Taken as a whole, the .NET technologies have changed the way nearly every Windows application is built. Now fully updated for version 2.0 of the .NET Framework and Visual Basic 2005, Understanding .NET, Second Edition, is a concise guide to the landscape of Windows development. Margin notes, detailed diagrams, and lucid writing make this book easy to read and navigate, while analysis sections explore controversial issues and address common concerns. David Chappell's independent perspective and straightforward descriptions clarify both how the .NET technologies work and how they can be used. Coverage includes *An overview of .NET and its goals *The Common Language Runtime (CLR) *The .NET languages, including C#, Visual Basic, and C++ *The .N ET Framework class library *Building Web Applications with ASP.NET *Accessing Data with ADO.NET *.NET framework integration with SQL Server 2005 The key to using a new technology is to understand the fundamentals. This book provides the robust foundation developers and technical managers need to make the right decisions and maximize the potential of this revolutionary framework.
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Business Data Communications Introductory Concepts and Techniques covers fundamental business data communication concepts, beginning with an overview and the companies and government agencies involved in the field; the effects of communications on today's society; types of networks and security; the importance of wireless technologies; e-business applications; and the increased speed in communication services.
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Written with a clear, straightforward writing style and packed with step-by-step projects for direct, hands-on learning, Guide to UNIX Using Linux, 4E is the perfect resource for learning UNIX and Linux from the ground up. Through the use of practical examples, end-of-chapter reviews, and interactive exercises, novice users are transformed into confident UNIX/Linux users who can employ utilities, master files, manage and query data, create scripts, access a network or the Internet, and navigate popular user interfaces and software. The updated 4th edition incorporates coverage of the latest versions of UNIX and Linux, including new versions of Red Hat, Fedora, SUSE, and Uuntu Linux. A new chapter has also been added to cover basic networking utilities, and several other chapters have been expanded to include additional information on the KDE and GNOME desktops, as well as coverage of the popular OpenOffice.org office suite. With a strong focus on universal UNIX and Linux commands that are transferable to all versions of Linux, this book is a "must-have" for anyone seeking to develop their knowledge of these systems.
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Hands-On Networking Fundamentals has been designed with the novice networking student in mind. It is a doorway into learning about all types of networks from the ground up. This new book encourage new users to feel confident in moving onto a Network+ course of study while obtaining the skills necessary to perform network installations and basic troubleshooting. The student truly gets a hands-on, interactive learning experience. New concepts are presented in clear language and the hands-on activities along with realistic case studies reinforce learning at each step. In the context of learning network fundamentals, students also learn practical design methods for home, small business, and large enterprise networks.
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There's a great deal of wisdom in a crowd, but how do you listen to a thousand people talking at once? Identifying the wants, needs, and knowledge of internet users can be like listening to a mob.In the Web 2.0 era, leveraging the collective power of user contributions, interactions, and feedback is the key to market dominance. A new category of powerful programming techniques lets you discover the patterns, inter-relationships, and individual profiles-the collective intelligence--locked in the data people leave behind as they surf websites, post blogs, and interact with other users.
Collective Intelligence in Action is a hands-on guidebook for implementing collective intelligence concepts using Java. It is the first Java-based book to emphasize the underlying algorithms and technical implementation of vital data gathering and mining techniques like analyzing trends, discovering relationships, and making predictions. It provides a pragmatic approach to personalization by combining content-based analysis with collaborative approaches.
This book is for Java developers implementing Collective Intelligence in real, high-use applications. Following a running example in which you harvest and use information from blogs, you learn to develop software that you can embed in your own applications. The code examples are immediately reusable and give the Java developer a working collective intelligence toolkit.
Along the way, you work with, a number of APIs and open-source toolkits including text analysis and search using Lucene, web-crawling using Nutch, and applying machine learning algorithms using WEKA and the Java Data Mining (JDM) standard.
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Guide to Operating Systems, Enhanced Edition provides the information needed to understand and support the desktop, server, and network operating systems in use today -- Windows XP, Windows Vista (the latest Windows version) Windows Server 2003, Windows Server 2003 R2, Windows 2000, SUSE Linux, Fedora Linux, Red Hat Enterprise Linux, Mac OS X (Panther and Tiger), and NetWare. Major concepts include operating system theory, installation, upgrading, configuring (operating system and hardware), file systems, security, hardware options, storage, resource sharing, network connectivity, maintenance, and troubleshooting. This book combines theory and technical practice for a stronger understanding, and it is great for training technical professionals who support multiple operating systems.
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Designed to prepare individuals to successfully pass the exam, this guide maps completely to CompTIAÆs Linux+ certification objectives.