Introduction to Machine Learning Physics

An introductory textbook that examines the interplay between physics and AI/machine learning. Aimed at physics students, it provides a smooth entry into machine learning and explores the collaborative relationship between the two fields. [language: English]

【主な目次】
A Machine Learning and Physics

A1. Linear Models
A2. Neural Networks (NN)
A3. Symmetry and Machine Learning: Convolution and Equivariant NN
A4. Classical Mechanics and Machine Learning: Neural Networks and Differential Equations
A5. Quantum Mechanics and Machine Learning

B Machine Learning Models and Physics

B1. Transformer
B2. Diffusion Models and Path Integrals
B3. Mechanism Behind Machine Learning
B4. Large Language Models and Science