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Machine Learning for the Physical Sciences
- Fundamentals and Prototyping with Julia
Engelsk Paperback
Machine Learning for the Physical Sciences
- Fundamentals and Prototyping with Julia
Engelsk Paperback

886 kr
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6 - 8 hverdage

Om denne bog

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/MachineLearning

Key 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.
Product detaljer
Sprog:
Engelsk
Sider:
266
ISBN-13:
9781032395234
Indbinding:
Paperback
Udgave:
ISBN-10:
1032395230
Udg. Dato:
11 dec 2023
Længde:
21mm
Bredde:
234mm
Højde:
155mm
Forlag:
Taylor & Francis Ltd
Oplagsdato:
11 dec 2023
Forfatter(e):
Kategori sammenhænge