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LEARNING THEORY FROM 1ST PRINCIPLES

Language EnglishEnglish
Book Hardback
Book LEARNING THEORY FROM 1ST PRINCIPLES BACH FRANCIS
Libristo code: 45775746
Publishers MIT, December 2024
A comprehensive and cutting-edge introduction to the foundations and modern applications of learning... Full description
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A comprehensive and cutting-edge introduction to the foundations and modern applications of learning theory.

Research has exploded in the field of machine learning resulting in complex mathematical arguments that are hard to grasp for new comers. . In this accessible textbook, Francis Bach presents the foundations and latest advances of learning theory for graduate students as well as researchers who want to acquire a basic mathematical understanding of the most widely used machine learning architectures. Taking the position that learning theory does not exist outside of algorithms that can be run in practice, this book focuses on the theoretical analysis of learning algorithms as it relates to their practical performance. Bach provides the simplest formulations that can be derived from first principles, constructing mathematically rigorous results and proofs without overwhelming students.

  • Provides a balanced and unified treatment of most prevalent machine learning methods
  • Emphasizes practical application and features only commonly used algorithmic frameworks
  • Covers modern topics not found in existing texts, such as overparameterized models and structured prediction
  • Integrates coverage of statistical theory, optimization theory, and approximation theory
  • Focuses on adaptivity, allowing distinctions between various learning techniques
  • Hands-on experiments, illustrative examples, and accompanying code link theoretical guarantees to practical behaviors

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About the book

Full name LEARNING THEORY FROM 1ST PRINCIPLES
Author BACH FRANCIS
Language English
Binding Book - Hardback
Date of issue 2024
Number of pages 478
EAN 9780262049443
Libristo code 45775746
Publishers MIT
Weight 1104

Categories

Computing & Information Technology > Information technology: general issues
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