Information Theory, Inference and Learning Algorithms (Gebundene Ausgabe) von David MacKay   Synopsis: Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book 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. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art 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, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning. Rezensionen ansehen...   Angebote zu  Information ,  Theory ,  Inference  ab 1 Euro! Siehe auch folgende Artikel: Pattern Recognition and Machine Learning (Information Science and Statistics) von Christopher M. Bishop An Introduction to Information Theory von John R. Pierce Probability Theory. The Logic of Science: Principles and Elementary Applications Vol 1 von E. T. Jaynes Information Theory von Robert B. Ash Mehr zu  Neural Networks,  Information Theory,  Modeling & Simulation,  Methodology,  Computers & Internet,  Algorithms,  Programming,  Software,  Telecommunications,  Physics Home ...,    Angebote ansehen ...,    Begleitseite ... Herausgeber dieser Seite ist DomainLoc.com GmbH - Partner von Amazon.de Copyright © DomainLoc.com GmbH (Impressum)