Machine Learning for the Physical Sciences: Fundamentals and Prototyping with Julia

Research output: Book/ReportBook

2 Scopus citations

Abstract

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 applications 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 demonstrates 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.

Original languageEnglish (US)
PublisherCRC Press
Number of pages289
ISBN (Electronic)9781003821144
ISBN (Print)9781032392295
DOIs
StatePublished - Jan 1 2023
Externally publishedYes

ASJC Scopus subject areas

  • General Engineering
  • General Chemistry
  • General Agricultural and Biological Sciences
  • General Biochemistry, Genetics and Molecular Biology
  • General Medicine

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