Physics of Data Science and Machine Learning

Více o knize

Physics of Data Science and Machine Learning links fundamental concepts of physics to data science, machine learning and artificial intelligence for physicists looking to integrate these techniques into their work. Inhaltsverzeichnis Chapter 1: Introduction Chapter 2: An Overview of Classical Mechanics Chapter 3: An Overview of Quantum Mechanics Chapter 4: Probabilistic Physics Chapter 5: Design of Experiments and Analyses Chapter 6: Basics of Machine Learning Chapter 7: Prediction, Optimization, and New Knowledge Development