Information Theory, Inference, and Learning Algorithms ISBN: 978-0-521-64298-9
📚 **DETAILED SPECIFICATIONS:**
- Author: David J. C. MacKay
- Publisher: Cambridge University Press
- ISBN-13: 978-0-521-64298-9
- Language: English
- Binding: Hardcover
- Dimensions: 265×212×45mm
- Weight: 1616g
- Genre: Academic
📖 **ABOUT THIS BOOK:**
Dive into the foundational principles of information theory, statistical inference, and machine learning with David J. C. MacKay's seminal work. This comprehensive textbook masterfully unites these often-separate disciplines, offering a unified perspective on their interconnections and practical applications. It is an essential resource for anyone interested in the algorithms that underpin modern data compression, error correction, and artificial intelligence.
From Bayesian data modeling and Monte Carlo methods to neural networks and advanced coding techniques like turbo codes and low-density parity-check codes, MacKay provides a rich blend of theoretical insights and practical examples. The book is designed to be accessible to senior undergraduates and graduate students across engineering, science, mathematics, and computing, making complex topics understandable through clear explanations and numerous worked examples.
✨ **CONDITION:** New
This book is new and unread, presenting a pristine interior with clean pages and a robust binding. Please note, however, that there are some minor dents on the corners, likely from storage, which are visible in the provided photographs. These minor imperfections do not affect the integrity or readability of the book. Based on its new condition and high academic value, this edition has an estimated value of $70-90.
📦 **SHIPPING & DELIVERY:**
- Ships from Kyiv, Ukraine
- Authentic Cambridge University Press edition
- Features numerous illustrations, worked examples, and exercises
- Carefully packaged for safe delivery
- ⚠️ Please note: Due to ongoing military actions and their consequences, delivery times may vary. Thank you for your understanding and support.
🎯 **PERFECT FOR:**
Students, researchers, and professionals in computer science, electrical engineering, statistics, and machine learning. This book is an invaluable reference for anyone seeking a deep understanding of the algorithms driving information processing and intelligent systems.
🚚 International Shipping
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