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The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, 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 techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models based on kernels have had a significant impact on both algorithms and applications.

This completely 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. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher. The book is supported by a great deal of additional material, and the reader is encouraged to visit the book web site for the latest information.

Coming soon:

*For students, worked solutions to a subset of exercises available on a public web site (for exercises marked "www" in the text)

*For instructors, worked solutions to remaining exercises from the Springer web site

*Lecture slides to accompany each chapter

*Data sets available for download

Although Blender is free, it's intended for design professionals and others motivated to become 3D artists. The Essential Blender will provide you with the knowledge you need to help integrate Blender into your work and begin to master its powerful creation tools.

If you've never tried 3D design before, an introductory chapter will familiarize you with relevant terminology and concepts. If you're already experienced with commercial 3D software, The Essential Blender will get you up to speed with Blender quickly. After a tour of Blender's 3D modeling, animation, and rendering capabilities, you'll learn how best to use Blender for these tasks:

The new edition is thoroughly updated to address emerging technologies -- with recent examples, new scenarios, and information on best practices -- while maintaining its focus on fundamentals. With topics that range from aesthetics to mechanics, "Information Architecture for the World Wide Web" explains how to create interfaces that users can understand right away. Inside, you'll find: An overview of information architecture for both newcomers and experienced practitioners The fundamental components of an architecture, illustrating the interconnected nature of these systems. Updated, with updates for tagging, folksonomies, social classification, and guided navigation Tools, techniques, and methods that take you from research to strategy and design to implementation. This edition discusses blueprints, wireframes and the role of diagrams in the design phase A series of short essays that provide practical tips and philosophical advice for those who work on information architecture The business context of practicing and promoting information architecture, including recent lessons on how to handle enterprise architecture Case studies on the evolution of two large and very different information architectures, illustrating best practices along the way

Delivers expert, end-to-end guidance from a leading System Center Configuration Manager expert

Features easy-to-follow procedures, practical workarounds, and key troubleshooting tactics