机器学习相关网址

Mathematics for Machine Learning | Companion webpage to the book “Mathematics for Machine Learning”. Copyright 2019 by Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong. To be published by Cambridge University Press.

https://mml-book.github.io/

数据常青藤 | 人工智能、机器学习、深度学习、神经网络、模式识别、自然语言处理、图像识别…数据智能工作才是数据的未来！

http://www.dataivy.cn/

Machine Learning: The Art and Science of Algorithms that Make Sense of Data by Peter Flach

https://mlbook.cs.bris.ac.uk/

吴恩达《机器学习》笔记

https://wei2624.github.io/machine%20learning/Machine-Learning-Notes/

周志华《机器学习》学习笔记

https://github.com/Vay-keen/Machine-learning-learning-notes

邱锡鹏：《神经网络与深度学习》

https://nndl.github.io/

深度学习阅读清单

http://deeplearning.net/reading-list/

Awesome Deep Learning 中文版

https://github.com/bo-xiong/Awesome-Deep-Learning-for-Chinese

AI算法工程师手册

http://www.huaxiaozhuan.com/

李航《统计学习方法》(第2版）课件

http://www.tup.tsinghua.edu.cn/booksCenter/book_08132901.html#

https://pan.baidu.com/s/1HUw0MeBD-1LP-r441oykhw

鸠摩搜索(用来搜索pdf书籍，免费下载电子书)

https://www.jiumodiary.com/

脚本之家(免费下载电子书)

https://www.jb51.net/books/

Introduction to Information Retrieval（信息检索导论，有文本分类，聚类）

https://nlp.stanford.edu/IR-book/

3. 计算机课程

工程数值分析| 电气与计算机工程系| 滑铁卢大学

https://ece.uwaterloo.ca/~dwharder/NumericalAnalysis/

Machine Learning - complete course notes

http://www.holehouse.org/mlclass/

Stephen P. Boyd 凸优化，优化问题，近端算法等运筹学知识

https://web.stanford.edu/~boyd/

Level Set Method: an Explanation

http://profs.etsmtl.ca/hlombaert/levelset/

Carlos Rodriguez's Home Page 概率论：科学的逻辑

https://omega0.xyz/omega8008/

Max Welling's Classnotes in Machine Learning

https://www.ics.uci.edu/~welling/classnotes/classnotes.html

Gatsby Computational Neuroscience

http://www.gatsby.ucl.ac.uk/teaching/courses/index.html

Frank Wood, Associate Professor, (Information) Engineering, Oxford 无监督学习

http://www.robots.ox.ac.uk/~fwood/teaching/C19_hilary_2016_2017/index.html

Yee Whye Teh 统计机器学习，贝叶斯

https://www.stats.ox.ac.uk/~teh/

OxCSML : Groups : Machine Learning 统计机器学习

http://csml.stats.ox.ac.uk/learning/

Applied Mathematics for Computer Science

http://www.cad.zju.edu.cn/home/zhx/csmath/doku.php?id=start

高斯过程

http://mlg.eng.cam.ac.uk/carl/

4. 数据集

各领域公开数据集下载 - 知乎

https://zhuanlan.zhihu.com/p/25138563

常见公开数据集（持续更新...） - 简书

https://www.jianshu.com/p/13420e9cf532

100款机器学习数据集 - haoji007的博客 - CSDN博客

https://blog.csdn.net/haoji007/article/details/81020229

Datasets for Data Science and Machine Learning

https://elitedatascience.com/datasets

人工智能机器学习数据集收集整理--持续更新中 - 简书

https://www.jianshu.com/p/8c7c1af7d593

CVonline: Image Databases

http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm

【机器学习数据集大列表】“Dataset list — A list of the biggest machine learning datasets”

https://www.datasetlist.com/

迁移学习数据集

http://transferlearning.xyz/

LIBSVM Data: Classification, Regression, and Multi-label

https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/

用于特征学习的代码和数据集(LapGMM)

http://www.cad.zju.edu.cn/home/dengcai/Data/data.html

5. 其他

林子雨编著-大数据软件安装和编程实践指南_厦门大学数据库实验室

http://dblab.xmu.edu.cn/post/7586/

Peer to Peer (P2P,对等网络) 综述

http://www.intsci.ac.cn/users/luojw/P2P/

GitHub - jindongwang/transferlearning: Everything about Transfer Learning and Domain Adaptation--迁移学习

https://github.com/jindongwang/transferlearning

在线 LaTeX 公式编辑器

https://www.codecogs.com/latex/eqneditor.php

Wolfram MathWorld: The Web's Most Extensive Mathematics Resource 线上数学百科全书

http://mathworld.wolfram.com/

arXiv Analytics 直接看到最新的arXiv文章

http://arxitics.com/

How to Write Guide: Sections of the Paper

http://abacus.bates.edu/~ganderso/biology/resources/writing/HTWsections.html

计算机视觉方面博客及代码 - 知乎

https://zhuanlan.zhihu.com/p/30104462

Codes and Datasets for Feature Learning

http://www.cad.zju.edu.cn/home/dengcai/Data/data.html

Matlab Toolbox for Dimensionality Reduction(MATLAB降维，特征选择工具箱)

https://lvdmaaten.github.io/drtoolbox/

https://ww2.mathworks.cn/matlabcentral/fileexchange/56937-feature-selection-library

MATLAB Source Codes

https://people.sc.fsu.edu/~jburkardt/m_src/m_src.html

【数据科学机器学习算法速查】《101 Machine Learning Algorithms for Data Science | Data Science Blog》by Nathan Piccini

https://blog.datasciencedojo.com/machine-learning-algorithms/

我爱分享网(用来下载软件)

http://www.zhanshaoyi.com/

基于TF-IDF算法实现的在线分词工具

https://cws.9sep.org/extract