The Statistical Physics Of Data Assimilation And Machine Learning
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The Statistical Physics of Data Assimilation and Machine Learning
Author: Henry D. I. Abarbanel
language: en
Publisher: Cambridge University Press
Release Date: 2022-02-17
The theory of data assimilation and machine learning is introduced in an accessible manner for undergraduate and graduate students.
The Principles of Deep Learning Theory
Author: Daniel A. Roberts
language: en
Publisher: Cambridge University Press
Release Date: 2022-05-26
This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
Machine Learning with Neural Networks
Author: Bernhard Mehlig
language: en
Publisher: Cambridge University Press
Release Date: 2021-10-28
This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.