机器学习 周志华-西瓜书 全文内容分享

机器学习是计算机科学和人工智能的一个重要分支，作为该领域的入门教材，本书尽可能涵盖了机器学习基础知识的各个方面。本书共16章，大致分为三个部分：第一部分（第1章至第3章）介绍了机器学习的基础知识；第二部分（第4～10章）讨论了一些经典和常用的机器学习方法（决策树、神经网络、支持向量机、贝叶斯分类器、集成学习、聚类、降维和度量学习）；第三部分（第11～16章）是高级知识，涉及特征选择和稀疏学习、计算学习理论、半监督学习、概率图模型、规则学习和强化学习。每章都附有练习和相关阅读材料，以便感兴趣的读者可以进一步学习和探索。

get：https://pan.baidu.com/s/1Li5EBV7viYgsmz23393Ygw?pwd=mh00

本书可作为高校计算机、自动化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科书。

Machine learning is an important branch of computer science and artificial intelligence As an introductory textbook in this field, this book covers all aspects of the basic knowledge of machine learning as much as possible The book consists of 16 chapters, which are roughly divided into three parts: Part 1 (Chapters 1 to 3) introduces the basic knowledge of machine learning; Part 2 (Chapters 4 ~ 10) discusses some classical and commonly used machine learning methods (decision tree, neural network, support vector machine, Bayesian classifier, ensemble learning, clustering, dimension reduction and metric learning); Part 3 (chapters 11 ~ 16) is advanced knowledge, which involves feature selection and sparse learning, computational learning theory, semi supervised learning, probability graph model, rule learning and reinforcement learning Each chapter is accompanied by exercises and related reading materials, so that interested readers can further study and explore.

This book can be used as a textbook for undergraduate or graduate students majoring in computer, automation and related majors in Colleges and universities, as well as for researchers and engineering technicians who are interested in machine learning.