Machine Learning: A First Course for Engineers and Scientists
暫譯: 機器學習:工程師與科學家的入門課程

Lindholm, Andreas, Wahlström, Niklas, Lindsten, Fredrik

商品描述

This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is suitable for advanced BSc or MSc courses. It covers theory and practice of basic and advanced methods such as deep learning, Gaussian processes, random forests, support vector machines and boosting.

商品描述(中文翻譯)

這本針對具備基本線性代數、統計學、機率論和程式設計背景的讀者所撰寫的機器學習入門書籍,適合高級學士或碩士課程。內容涵蓋基本和進階方法的理論與實踐,例如深度學習、Gaussian processes、隨機森林、支持向量機和提升法。