1st Edition

Physics of Data Science and Machine Learning

By Ijaz A. Rauf Copyright 2022
210 Pages 48 B/W Illustrations
by CRC Press

210 Pages 48 B/W Illustrations
by CRC Press

210 Pages 48 B/W Illustrations
by CRC Press

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. This book is written explicitly for physicists, marrying quantum and statistical mechanics with modern data mining, data science, and machine learning. It also explains how to... Read more

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

Biography

Ijaz A. Rauf is Adjunct Professor at the School of Graduate Studies, York University, Toronto, Canada. He is also an Associate Researcher at Ryerson University, Toronto, Canada and President of the Eminent-Tech Corporation, Bradford, ON, Canada.