Main Machine Learning for the Physical Sciences

Machine Learning for the Physical Sciences

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Machine learning is an exciting topic with a myriad of applications. However, most textbooks are targeted towards computer science students. This, however, creates a complication for scientists across the physical sciences that also want to understand the main concepts of machine learning and look ahead to applica- tions and advancements in their fields.This textbook bridges this gap, providing an introduction to the mathematical foundations for the main algorithms used in machine learning for those from the physical sciences, without a formal background in computer science. It demon- strates how machine learning can be used to solve problems in physics and engineering, targeting senior undergraduate and graduate students in physics and electrical engineering, alongside advanced researchers.All codes are available on the author's website: C•Lab (nau.edu)They are also available on GitHub: https://github.com/StxGuy/MachineLearningKey Features:Includes detailed algorithms.Supplemented by codes in Julia: a high-performing language and one that is easy to read for those in the natural sciences.All algorithms are presented with a good mathematical background.
Request Code : ZLIBIO4379401
Categories:
Year:
2023
Edition:
1
Publisher:
CRC Press
Language:
English
Pages:
288
ISBN 10:
1032395230
ISBN 13:
9781032395234
ISBN:
1032395230,9781032395234

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