000			01556nam a22002057a 4500
005			20250217093952.0
008			250217b ||||| |||| 00| 0 eng d
020			_a978103293937
040			_cAL
041			_aeng
082			_223 _a530.0285 _bRAUP
100			_aIjaz A Rauf _9200154
245			_aPhysics of data science and machine learning
260			_aBoca Raton _bCRC Press _c2025
300			_axvi,194p. _bPB _c23x15cm.
365			_2General _a6387 _b₹876.00 _c₹ _d₹1095.00 _e20% _f06-02-2025
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, while 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.
650			_2Physics _aAuxiliary Techniques and Procedures, Materials _9200155
942			_2ddc _cBK
999			_c233808 _d233808