机器学习公式详解 南瓜书 PDF 全文内容详细分享

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周的机器学习（俗称“西瓜书”）是机器学习领域的经典入门教材之一。本书（俗称“南瓜书”）是根据datawhale会员自学 西瓜书 时的笔记编写的，旨在分析 西瓜书 中的重点和难点公式，并补充一些公式的具体推导细节。

本书共16章，对应《西瓜书》的章节和公式。从本科生数学基础的角度对每个公式的推导和分析进行了说明，希望能帮助读者达到“理工科数学基础扎实的大二学生”的水平。每一章都附有相关阅读材料，以便感兴趣的读者可以进一步学习和探索。

本书思路清晰，视角独特，结构合理，可作为高校计算机及相关专业本科生或研究生以及对机器学习感兴趣的研究人员和工程技术人员的教材。

Zhou Zhihua’s machine learning (commonly known as “watermelon book”) is one of the classic introductory textbooks in the field of machine learning. This book (commonly known as “pumpkin book”) is compiled based on the notes taken by datawhale members when they self-study the “watermelon book”, aiming to analyze the key and difficult formulas in the “watermelon book” and supplement specific derivation details to some formulas.

The book has 16 chapters, corresponding to the chapters and formulas of “watermelon book”. The derivation and analysis of each formula are explained from the perspective of undergraduate mathematics foundation, hoping to help readers reach the level of “sophomores with a solid foundation in science and Engineering Mathematics”. Each chapter is accompanied by relevant reading materials, so that interested readers can further study and explore.

With clear ideas, unique perspectives and reasonable structure, this book can be used as a textbook for undergraduate or graduate students majoring in computer and related majors in Colleges and universities, as well as for researchers and engineering technicians who are interested in machine learning.