机器学习超全的学习资料，适合新手入门

朴灿烈づ我的快乐病毒、 2022-05-31 22:50 278阅读 0赞

### **1. 一些课程** ###

**1.1 Machine Learning with Python，来自 [CognitiveClass.ai][]**

**1.2 Intro to Machine Learning，来自 [Udacity][]**

**1.3 Machine Learning，来自 [Udacity][Udacity 1]**

**1.4 Principles of Machine Learning，来自 [EDX][]**

**1.5 Machine Learning Crash Course，来自 [Berkeley][]**

**2. 书籍**

2.1 [Python for Data Analysis – Wes Mckiney][Python for Data Analysis _ Wes Mckiney]

2.2 [Python Machine Learning – Sebastian Raschka][Python Machine Learning _ Sebastian Raschka]

2.3 [Introduction to Machine Learning with Python – Andreas Muller and Sarah Guido][Introduction to Machine Learning with Python _ Andreas Muller and Sarah Guido]

跟着本书配套的，还有一个 YouTube 视频，请[点击这里][Link 1]。

2.4 书籍列表，来自 [Github][]

### **3. 视频** ###

**3.1 Luis Serrano**  – [A friendly Introduction to Machine Learning][]

### 3.2 [Roshan – Machine Learning – Video Series][Roshan _ Machine Learning _ Video Series] ###

### 3.3 Machine Learning with Scikit-Learn (Scipy 2016) – Part 1 and [Part 2][] ###

### 3.4 Machine Learning with Python – [Sentdex][] Playlist ###

### 3.5 Machine Learning with Scikit-Learn – [Cristi Vlad][Link 1] Playlist ###

### 3.6 [Machine Learning APIs by Example – Google Developers][Machine Learning APIs by Example _ Google Developers] ###

### 3.7 [Practical Introduction to Machine Learning – Same Hames][Practical Introduction to Machine Learning _ Same Hames] ###

### 3.8 [Machine Learning Recipes – with Josh Gordon][Machine Learning Recipes _ with Josh Gordon] ###

###  ###

### **4. 其他** ###

**4.1** [Machine Learning 101 – from BigML][Machine Learning 101 _ from BigML]

**4.2 **[Learning Machine Learning – EliteDataScience][Learning Machine Learning _ EliteDataScience]

**4.3 [Top-down learning path: Machine Learning for Software Engineers][Top-down learning path_ Machine Learning for Software Engineers]**

**4.4 [Machine Learning Mastery – by Dr. Jason Brownlee][Machine Learning Mastery _ by Dr. Jason Brownlee]**

ps: 以上资料链接访问不了的需要自搭梯子fq

###  ###

### **5. 一些比较好的资料和电子书** ###

1：数据挖掘：概念与技术(中文第三版)  
2：矩阵分析.美国 Roger.A.Horn.  
3：统计学习方法  李航  
4：概率论与数理统计 - 陈希孺  
5：模式分类第二版中文版Duda.pdf(全)  
6：推荐系统实战  
7：机器学习及其应用  
8：深入搜索引擎-海量信息的压缩，索引，查询  
9：机器学习实战  
10：机器学习系统设计:Building Machine Learning Syste - Willi Richert  
11：\[奥莱理\] Machine Learning for Hacker  
链接: https://pan.baidu.com/s/1eRQN8Am 密码: nppi  
12：机器学习实践指南 案例应用解析  
链接: https://pan.baidu.com/s/1c2vZLok 密码: 4bi8  
13：R语言与数据挖掘最佳实践和经典案例  
链接: https://pan.baidu.com/s/1b4BgR0 密码: 761u  
14：数据挖掘 实用案例分析  
链接: https://pan.baidu.com/s/1bppqkkZ 密码: jgb8  
15：神经网络与机器学习(原书第3版)  
链接: https://pan.baidu.com/s/1i5MnUxJ 密码: t3uv  
16：人工神经网络理论、设计及应用\_第2版  
链接: https://pan.baidu.com/s/1kVcOERP 密码: zqvg  
17：MATLAB神经网络原理与实例精解  
链接: https://pan.baidu.com/s/1eRFsIbg 密码:7ab1  
18：神经网络设计 . 美国 Hagan  
链接: https://pan.baidu.com/s/1hrObAs8 密码: tfbb  
19：deep learning by bengio  
链接: https://pan.baidu.com/s/1slv9s3F 密码: csgu  
20：大规模名人人脸标注数据集CelebA  
链接: https://pan.baidu.com/s/1slkJZIX 密码: a34n  
21：徐小湛《高等数学》  
链接: https://pan.baidu.com/s/1bpLKn4V 密码: u418  
22：徐小湛-线性代数  
链接: https://pan.baidu.com/s/1mhVvidy 密码: rch2  
24：吴恩达-机器学习教程  
链接: https://pan.baidu.com/s/1qYSLwk8 密码: jmpc  
25：斯坦福大学-深度学习基础教程  
链接: https://pan.baidu.com/s/1hrX5duW 密码: w9r9  
26：Learning Deep Architectures for AI  
链接: https://pan.baidu.com/s/1ck86ce 密码: qz3b  
27：支持向量机导论  
链接: https://pan.baidu.com/s/1boJ2oEz 密码: v2at  
28：模式识别(第二版)边肇祺 张学工  
链接: https://pan.baidu.com/s/1o83gXEM 密码: iu23  
29：神经网络与机器学习(原书第3版)  
链接: https://pan.baidu.com/s/1jHYMT9s 密码: jvi3  
30：Neural Networks A Comprehensive Foundation  
链接: https://pan.baidu.com/s/1bJ4mSm 密码: ssmh  
31：《现代模式识别》-孙即祥  
链接: https://pan.baidu.com/s/1kV9YA5h 密码: ett5  
32：机器学习那些事  
链接: https://pan.baidu.com/s/1slqPEhf 密码: rf7m  
33：人工智能与大数据  
链接: https://pan.baidu.com/s/1i5s1TXV 密码: 3rsg  
34：CS271 Introduction to Artificial Intelligence AI Class  
链接: https://pan.baidu.com/s/1qXVmUqK 密码: 3uhp  
35：Data Manipulation at Scale Systems and Algorithms  
36：林轩田：机器学习技法  
链接: https://pan.baidu.com/s/1jIrdQKI 密码: brce  
37：机器学习基石  
链接: https://pan.baidu.com/s/1jI7YOLo 密码: 45hx  
38： 机器学习经典论文  
链接: https://pan.baidu.com/s/1gf6JaPt 密码: 3ext  
39：CS344 Intro To Parallel Programming Using CUDA  
链接: https://pan.baidu.com/s/1nvpBKGp 密码: zhym  
40： 斯坦福大学-机器学习课程  
链接: https://pan.baidu.com/s/1kUG4cbt 密码: 8yav  
41： Natural Language Processing Collins  
链接: https://pan.baidu.com/s/1nuZwG21 密码: t9jc  
42： 论文合集  
链接: https://pan.baidu.com/s/1hr9O5pE 密码: jkj6  
43： 形式语言与自动机理论  
链接: https://pan.baidu.com/s/1o7S9n2U 密码: a5g6  
44： 统计自然语言处理基础  
链接: https://pan.baidu.com/s/1c2trU8K 密码: 2fiw  
45：宗成庆统计自然语言处理  
链接: https://pan.baidu.com/s/1i5N9XEd 密码: kkf6  
46： 自然语言处理综论.  
链接: https://pan.baidu.com/s/1geBS3lT 密码: nxfj  
47： 条件随机场综述  
链接: https://pan.baidu.com/s/1kUZ0OK3 密码: 8y6f  
48：Tagging.pdf  
链接: https://pan.baidu.com/s/1eSm2rsu 密码: 8b4s  
49：icslp2002-srilm  
链接: https://pan.baidu.com/s/1dFIYwA9 密码: 9p4k  
50：凸优化-中译本(扫描)  
链接: https://pan.baidu.com/s/1jI3VWr0 密码: wc2p  
51：Finding scientific topics  
链接: https://pan.baidu.com/s/1boXarfD 密码: tx83  
52：推荐系统实践  
链接: https://pan.baidu.com/s/1boAF8uj 密码: w4fq  
53：Python数据分析基础教程：NumPy学习指南(第2版)  
链接: https://pan.baidu.com/s/1sleFiFF 密码: 4vnn  
54：《利用Python进行数据分析》.(Wes McKinney)  
链接: https://pan.baidu.com/s/1hr5LDha 密码: 8g9f  
55：Python核心编程  
链接: https://pan.baidu.com/s/1pLrA0jD 密码: sf5k  
56：形式语言与自动机理论  
链接: https://pan.baidu.com/s/1pLh1a8j 密码: 8zps  
57：用Python进行自然语言处理  
链接: https://pan.baidu.com/s/1eSq6Ywq 密码: b7hs  
58：Error-tolerant.  
链接: https://pan.baidu.com/s/1i5zonoL 密码: 4uxj  
59：crf-tutorial  
链接: https://pan.baidu.com/s/1qYfxpA8 密码: mbfz  
60：PLSA及EM算法-yangliuy  
链接: https://pan.baidu.com/s/1nvrE4Gh 密码: ymcz

PS：刚入门的同学如果觉得看书太枯燥，可以通过看视频来学习，这里博主推荐两个视频，吴恩达或者台大李宏毅的视频，讲的都很不错，由浅入深，很容易就理解了。B站就有相关视频，传送门如下

吴恩达(*Andrew Ng*)的*Machine Learning*链接：[https://www.bilibili.com/video/av9912938/][https_www.bilibili.com_video_av9912938]

李宏毅的视频链接：[https://www.bilibili.com/video/av10590361/][https_www.bilibili.com_video_av10590361]

[CognitiveClass.ai]: https://link.jianshu.com/?t=https://cognitiveclass.ai/courses/machine-learning-with-python/
[Udacity]: https://cn.udacity.com/course/intro-to-machine-learning--ud120
[Udacity 1]: https://link.jianshu.com/?t=https://www.udacity.com/course/machine-learning--ud262
[EDX]: https://link.jianshu.com/?t=https://www.edx.org/course/principles-machine-learning-microsoft-dat203-2x-3
[Berkeley]: https://ml.berkeley.edu/blog/2016/11/06/tutorial-1/
[Python for Data Analysis _ Wes Mckiney]: https://www.amazon.com/gp/product/1449319793/ref=as_li_qf_sp_asin_il_tl?ie=UTF8
[Python Machine Learning _ Sebastian Raschka]: https://www.amazon.com/gp/product/1783555130/ref=as_li_qf_sp_asin_il_tl?ie=UTF8
[Introduction to Machine Learning with Python _ Andreas Muller and Sarah Guido]: https://www.amazon.com/gp/product/1449369413/ref=as_li_qf_sp_asin_il_tl?ie=UTF8
[Link 1]: https://www.youtube.com/playlist?list=PLonlF40eS6nynU5ayxghbz2QpDsUAyCVF
[Github]: https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md
[A friendly Introduction to Machine Learning]: https://www.youtube.com/watch?v=IpGxLWOIZy4
[Roshan _ Machine Learning _ Video Series]: https://www.youtube.com/watch?v=k890Dr5OkZg
[Part 2]: https://www.youtube.com/watch?v=Cte8FYCpylk
[Sentdex]: https://www.youtube.com/playlist?list=PLQVvvaa0QuDfKTOs3Keq_kaG2P55YRn5v
[Machine Learning APIs by Example _ Google Developers]: https://www.youtube.com/watch?v=ETeeSYMGZn0
[Practical Introduction to Machine Learning _ Same Hames]: https://www.youtube.com/watch?v=3cWUqd6rGaM
[Machine Learning Recipes _ with Josh Gordon]: https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal
[Machine Learning 101 _ from BigML]: https://link.jianshu.com/?t=https://bigml.com/ml101/
[Learning Machine Learning _ EliteDataScience]: https://link.jianshu.com/?t=https://elitedatascience.com/learn-machine-learning
[Top-down learning path_ Machine Learning for Software Engineers]: https://github.com/ZuzooVn/machine-learning-for-software-engineers
[Machine Learning Mastery _ by Dr. Jason Brownlee]: https://link.jianshu.com/?t=http://machinelearningmastery.com/
[https_www.bilibili.com_video_av9912938]: https://www.bilibili.com/video/av9912938/
[https_www.bilibili.com_video_av10590361]: https://www.bilibili.com/video/av10590361/