UID:
almahu_9949385388502882
Umfang:
1 online resource
Ausgabe:
First edition.
ISBN:
9781003206743
,
1003206743
,
9781000450477
,
1000450473
,
9781000450415
,
1000450414
Inhalt:
"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 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"--
Anmerkung:
An overview of classical mechanics -- An overview of quantum mechanics -- Probabilistic physics -- Design of experiments and analyses -- Basics of machine learning -- Prediction, optimization, and new knowledge development.
Weitere Ausg.:
Print version: Rauf, Ijaz A. Physics of data science and machine learning. Boca Raton : CRC Press, 2022 ISBN 9780367768584
Sprache:
Englisch
Schlagwort(e):
Electronic books.
URL:
https://www.taylorfrancis.com/books/9781003206743
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