Machine Learning for the Physical Sciences is popular PDF and ePub book, written by Carlo Requião da Cunha in 2023-12-05, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning for the Physical Sciences can be Read Online from any device for your convenience.
Machine Learning for the Physical Sciences Book PDF Summary
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 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
Detail Book of Machine Learning for the Physical Sciences PDF
- Author : Carlo Requião da Cunha
- Release : 05 December 2023
- Publisher : CRC Press
- ISBN : 9781003821144
- Genre : Computers
- Total Page : 289 pages
- Language : English
- PDF File Size : 16,7 Mb
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