Machine Learning for Biomedical Applications: With Scikit-Learn and Pytorch

Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning where concepts are presented in short descriptions followed by simple examples using biomedical data. Interactive Python notebooks are provided with each chapter to complement the text and aid understanding. Sections cover uses in biomedical applications, practical Python coding skills, mathematical tools that underpin the field, core machine learning methods, deep learning concepts with examples in Keras, and much more.

This accessible and interactive introduction to machine learning and data analysis skills is suitable for undergraduates and postgraduates in biomedical engineering, computer science, the biomedical sciences and clinicians.

「生物醫學應用的機器學習：使用Scikit-Learn和PyTorch」介紹了在生物醫學領域中最常用的機器學習技術。避免了理論觀點，提供了一種實用且互動的學習方式，其中概念以簡短的描述為主，接著使用生物醫學數據進行簡單的示例。每章附帶互動式的Python筆記本，以補充文字並幫助理解。內容涵蓋了生物醫學應用、實用的Python編程技巧、支撐該領域的數學工具、核心機器學習方法、以及使用Keras進行深度學習的概念和示例等等。這本易於理解且互動性強的機器學習和數據分析入門書適合生物醫學工程、計算機科學、生物醫學科學和臨床醫生的本科生和研究生閱讀。