000			01983 a2200181 4500
020			_a9781032939377
082			_a530.02853 _bR191p
100			_aRauf, Ijaz A.
245			_aPhysics of data science and machine learning [special Indian edition] _cIjaz A. Rauf
250			_aspecial Indian edition
260			_bCRC Press _c2025 _aBoca Raton
300			_axvi, 194p
520			_aPhysics 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 integrate these techniques into the design of experiments, whilst exploring neural networks and machine learning building on fundamental concepts of statistical and quantum mechanics. This book is a self-learning tool for physicists looking to learn how to utilize data science and machine learning in their research. It will also be of interest to computer scientists and applied mathematicians, alongside graduate students looking to understand the basic concepts and foundations of data science, machine learning, and artificial intelligence. Although specifically written for physicists, it will also help provide non-physicists with an opportunity to understand the fundamental concepts from a physics perspective to aid the development of new and innovative machine learning and artificial intelligence tools. Key features: Introduces the design of experiments and digital twin concepts in simple lay terms for physicists to understand, adopt, and adapt. Free from endless derivations, instead equations are presented and explained strategically and explain why-- Provided by publisher.
650			_aPhysics -- Data science
650			_aData science
650			_aMachine learning
942			_cBK
999			_c567661 _d567661