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

Requião Da Cunha, Carlo

Machine Learning for the Physical Sciences: Fundamentals and Prototyping with Julia
  • 出版商: CRC
  • 出版日期: 2023-12-11
  • 售價: $7,240
  • 貴賓價: 9.5 折 $6,878
  • 語言: 英文
  • 頁數: 266
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032392290
  • ISBN-13: 9781032392295
  • 相關分類: 程式語言、Machine Learning

    • 下單後立即進貨 (約2~4週)

相關主題

商品描述

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.

商品描述(中文翻譯)

機器學習是一個令人興奮的主題，具有眾多應用。然而，大多數教科書都針對計算機科學學生。這對於其他科學領域的科學家來說則帶來了一個困難，他們也希望了解機器學習的主要概念，並展望其在自己領域中的應用和進展。

這本教科書彌補了這一差距，為來自自然科學領域且沒有計算機科學背景的人提供了機器學習主要算法的數學基礎介紹。它展示了機器學習如何用於解決物理和工程問題，針對物理和電氣工程的高年級本科生和研究生，以及高級研究人員。

所有代碼都可以在作者的網站C-Lab (nau.edu)上找到。

它們也可以在GitHub上找到: https://github.com/StxGuy/MachineLearning

主要特點:
- 包含詳細的算法。
- 以Julia編寫的代碼作為補充: Julia是一種高效且易於閱讀的語言，適合自然科學領域的人使用。
- 所有算法都有良好的數學基礎。

作者簡介

Carlo R. da Cunha is currently an assistant professor at the School of Informatics, Computing, and Cyber Systems at Northern Arizona University. He holds a Ph.D. degree in electrical engineering from Arizona State University. Throughout his career, Dr. da Cunha has held various academic positions and research affiliations in institutions such as McGill University, Chiba University, and the Technical University of Vienna. His research focuses on computational science, where he applies machine learning techniques to the design of innovative electronic devices and systems.

作者簡介(中文翻譯)

Carlo R. da Cunha目前是北亞利桑那大學資訊學院、計算學院和網絡系統學院的助理教授。他擁有亞利桑那州立大學電機工程學博士學位。在他的職業生涯中，da Cunha博士曾在麥吉爾大學、千葉大學和維也納技術大學等機構擔任過各種學術職位和研究聯繫。他的研究專注於計算科學，應用機器學習技術設計創新的電子設備和系統。

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