物理科学的机器学习：Julia的基础和原型设计（True EPUB）

English | 2023 | ISBN: 9781003350101 | 369 pages | True EPUB | 5.32 MB

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

英文| 2023 |国际标准图书编号：9781003350101 | 369页|真正的EPUB | 5.32 MB 机器学习是一个令人兴奋的话题，有无数的应用。然而，大多数教科书都是针对计算机科学学生的。然而，这给整个物理科学领域的科学家带来了复杂性，他们也想了解机器学习的主要概念，并展望其领域的应用和进步。 这本教科书弥合了这一差距，为那些没有计算机科学正式背景的物理科学人士介绍了机器学习中使用的主要算法的数学基础。它展示了机器学习如何用于解决物理和工程中的问题，目标是物理和电气工程的高级本科生和研究生，以及高级研究人员。 主要特点 包括详细的算法，并辅以Julia中的代码：一种高性能语言，对自然科学领域的人来说易于阅读。所有算法都具有良好的数学背景

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