Machine Learning for the Physical Sciences e-bog
583,01 DKK
(inkl. moms 728,76 DKK)
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...
E-bog
583,01 DKK
Forlag
CRC Press
Udgivet
5 december 2023
Længde
266 sider
Genrer
Physics
Sprog
English
Format
epub
Beskyttelse
LCP
ISBN
9781003821168
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.Key Features:Includes detailed algorithmsSupplemented by codes in Julia: a high-performing language and one that is easy to read for those in the natural sciencesAll algorithms are presented with a good mathematical background