Considers classical and theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. This book provides an self-contained volume encapsulating this spectrum of information.
This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/
This is the first textbook on pattern recognition to present the Bayesian viewpoint. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible, and it uses graphical models to describe probability distributions. 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 isrequired, 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
Pattern - Oriented Software Architecture A System of Patterns Frank Buschmann, Regine Meunier, Hans Rohnert, Peter Sommerlad, Michael Stal of Siemens AG, Germany Pattern-oriented software architecture is a new approach to software development. This book represents the progression and evolution of the pattern approach into a system of patterns capable of describing and documenting large-scale applications. A pattern system provides, on one level, a pool of proven solutions to many recurring design problems. On another it shows how to combine individual patterns into heterogeneous structures and as such it can be used to facilitate a constructive development of software systems. Uniquely, the patterns that are presented in this book span several levels of abstraction, from high-level architectural patterns and medium-level design patterns to low-level idioms. The intention of, and motivation for, this book is to support both novices and experts in software development. Novices will gain from the experience inherent in pattern descriptions and experts will hopefully make use of, add to, extend and modify patterns to tailor them to their own needs. None of the pattern descriptions are cast in stone and, just as they are borne from experience, it is expected that further use will feed in and refine individual patterns and produce an evolving system of patterns. Visit our Web Page http://www.wiley.com/compbooks/
Hofstadter´s bestselling collection of brilliant and quirky essays has been reissued to coincide with the paperback release of Fluid Concepts and Creative Analogies. ´´Reading Metamagical Themas is perhaps the closest thing imaginable to taking a voyage through a mind´´.--San Francisco Chronicle. 124 line drawings.
This book lays the foundation for maximizing the use of design patterns by helping the reader view them in the context of refactorings. Groundbreaking work! Part of Martin Fowler´s Signature Series, developed with significant input from Fowler himself Ties together two of the most popular methods in software engineering today -- refactoring and design patterns Helps software designers improve their efficiency and create more robust software The reality of software is that great software designs are not necessarily created, but it is more likely that they evolve. In this eagerly-anticipated new book, Joshua Kerievsky helps the experienced developer see design patterns in the context of refactorings, not just as reusable elements existing apart from the refactoring literature. This fresh perspective helps the reader to learn how to evolve a software design. Test-first programming and merciless refactoring are the key practices of evolutionary design, and the author imparts his unique knowledge on these topics. The result is a classic book containing a plethora of practical advice that will help software designers properly gauge the project at hand, and evolve a design that will give their organization a competitive advantage. Product Description In 1994, Design Patterns changed the landscape of object-oriented development by introducing classic solutions to recurring design problems. In 1999, Refactoring revolutionized design by introducing an effective process for improving code. With the highly anticipated Refactoring to Patterns , Joshua Kerievsky has changed our approach to design by forever uniting patterns with the evolutionary process of refactoring. This book introduces the theory and practice of pattern-directed refactorings: sequences of low-level refactorings that allow designers to safely move designs to, towards, or away from pattern implementations. Using code from real-world projects, Kerievsky documents the thinking and steps underlying over two dozen pattern-based design transformations. Along the way he offers insights into pattern differences and how to implement patterns in the simplest possible ways. Coverage includes: A catalog of twenty-seven pattern-directed refactorings, featuring real-world code examples Descriptions of twelve design smells that indicate the need for this book´s refactorings General information and new insights about patterns and refactoring Detailed implementation mechanics: how low-level refactorings are combined to implement high-level patterns Multiple ways to implement the same pattern-and when to use each Practical ways to get started even if you have little experience with patterns or refactoring Refactoring to Patterns reflects three years of refinement and the insights of more than sixty software engineering thought leaders in the global patterns, refactoring, and agile development communities. Whether you´re focused on legacy or ´´greenfield´´ development, this book will make you a better software designer by helping you learn how to make important design changes safely and effectively. Features + Benefits This book lays the foundation for maximizing the use of design patterns by helping the reader view them in the context of refactorings. ° Groundbreaking work! Part of Martin Fowler´s Signature Series, developed with significant input from Fowler himself ° Ties together two of the most popular methods in software engineering today -- refactoring and design patterns ° Helps software designers improve their efficiency and create more robust software Backcover In 1994, Design Patterns changed the landscape of object-oriented development by introducing classic solutions to recurring design problems. In 1999, Refactoring revolutionized design by introducing an effective process for improving code. With the highly anticipated Refactoring to Patterns , Joshua Kerievsky has changed our approach to design by forever uniting patterns with the evolutionary process of refactoring. This book introduces the theory and practice of pattern-directed refactorings: sequences of low-level refactorings that allow designers to safely move designs to, towards, or away from pattern implementations. Using code from real-world projects, Kerievsky documents the thinking and steps underlying over two dozen pattern-based design transformations. Along the way he offers insights into pattern differences and how to implement patterns in the simplest possible ways. Coverage includes: A catalog of
Learn about dependency injection, interfaces, service providers, SOLID design, and more with practical and real-world code examples. This book covers everything you need to get started in application development with Laravel 5.3. Beginning Laravel covers features such as method injection, contracts, and authentication. After reading this book, you can develop any application using Laravel 5. It details all you need to know, including the model-view-controller pattern, SQLite databases, routing, authorization, and building CRUD applications. What You Will Learn Work with the new Laravel framework and its new features Develop web applications with Laravel Absorb the concepts of authentication and database migration Manage databases with Eloquent ORM Use middleware, contracts, and facades Who This Book Is For readers who=´´´´ are=´´´´ new=´´´´ to=´´´´ laravel=´´´´ development. Readers who are new to Laravel development.
The second edition of Programming Scala gets experienced developers up to speed on one of today´s most exciting languages. Scala offers all the benefits of a modern object model, functional programming, and an advanced type system. Packed with code examples, this comprehensive book teaches programmers how to be productive with Scala quickly, and explains what makes this language ideal for today´s highly scalable, component-based applications that support concurrency and distribution. New chapters include pattern matching, comprehensions, and advanced functional programming.