机器学习相关网址
作者:凯鲁嘎吉 - 博客园 http://www.cnblogs.com/kailugaji/
更多内容,请看:文献查找
1. 个人博客/个人主页
Free Mind
Junhao Hua 博客 | huajh7's Blog
Jorbe's Blog | Never say never
刘未鹏 | Mind Hacks – 思维改变生活
lucky6.coding.me
科学空间|Scientific Spaces
吴良超的学习笔记
Unsupervised learning: The curious pupil | DeepMind
https://deepmind.com/blog/article/unsupervised-learning
一些关于机器学习的网站总结 | LiXiang NLP
http://www.leexiang.com/a-summary-of-some-websites-about-machine-learning
标点符 – 技术,思考,人生 聚类、相似度度量,机器学习
Mophei's blog——优化问题
Math ∩ Programming
The Clever Machine | Topics in Computational Neuroscience & Machine Learning 计算神经科学与机器学习博客
https://theclevermachine.wordpress.com/
卢明冬的博客 | 自由思考的空间
SHEN's BLOG
Agustinus Kristiadi's Blog
Uncertainty quantification in deep learning、Bayesian inference and Riemannian geometry
USTCcoder 机器学习与深度学习(包括聚类)
圆眼睛的阿凡提哥哥(数学相关)
Jindong Wang's Personal Website (王晋东 迁移学习)
机器不太会学习(范数、优化)
关于GAN
STEFANIE JEGELKA(统计、优化)
http://people.csail.mit.edu/stefje/index.html
李宏毅
https://speech.ee.ntu.edu.tw/~tlkagk/
Chelsea Finn 元学习
https://ai.stanford.edu/~cbfinn/
Post Archive | Zero meta-RL
https://xlnwel.github.io/blog/posts/
CampusAI RL
https://campusai.github.io/theory/
郭西风 深度聚类
2. 相关书籍
Data Mining and Analysis Main/Book Resources
http://www.dataminingbook.info/pmwiki.php/Main/BookResources
Introduction - Computer Graphics from scratch - Gabriel Gambetta
https://www.gabrielgambetta.com/computer-graphics-from-scratch/introduction.html
Gaussian Processes for Machine Learning: Contents
http://www.gaussianprocess.org/gpml/chapters/
机器学习原理
https://www.cntofu.com/book/85/index.html
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.
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!
Machine Learning: The Art and Science of Algorithms that Make Sense of Data by Peter Flach
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
南瓜书(西瓜书的公式推导)
https://datawhalechina.github.io/pumpkin-book/#/
邱锡鹏:《神经网络与深度学习》
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
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)
脚本之家(免费下载电子书)
Introduction to Information Retrieval(信息检索导论,有文本分类,聚类)
https://nlp.stanford.edu/IR-book/
Home | Bookdown R语言,数据挖掘在线书籍
matlab教程(初学者)
https://www.ml.uni-saarland.de/MatlabTutorial/intro_matlab_en.pdf
The Elements of Statistical Learning
https://esl.hohoweiya.xyz/book/The%20Elements%20of%20Statistical%20Learning.pdf
https://esl.hohoweiya.xyz/index.html (中文翻译)
Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning(史上最全的面向计算机专业的数学基础图书)
https://www.cis.upenn.edu/~jean/math-deep.pdf
动手学深度学习
Introduction to Data Mining (Second Edition)
https://www-users.cs.umn.edu/~kumar001/dmbook/index.php
深度强化学习中文2020
https://github.com/wangshusen/DRL/blob/master/Notes_CN/DRL.pdf
王东 机器学习导论2021
http://166.111.134.19:7777/mlbook/release/21-01-02/book.pdf
Random: Probability, Mathematical Statistics, Stochastic Processes,概率,数理统计,随机过程在线书籍
http://www.randomservices.org/random/index.html
数值分析笔记
https://o-o-sudo.github.io/numerical-methods/
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
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/
| DISTRIBUTED-SYSTEMS.NET 分布式系统
https://www.distributed-systems.net/
Hung-yi Lee
http://speech.ee.ntu.edu.tw/~tlkagk/courses.html
Numerical Methods for Data Science(涉及数值优化、低秩张量、GCN等)
https://www.cs.cornell.edu/courses/cs6241/2020sp/
Laurent El Ghaoui(涉及优化、稀疏)
https://people.eecs.berkeley.edu/~elghaoui/index.html
ECE236C - Optimization Methods for Large-Scale Systems
http://www.seas.ucla.edu/~vandenbe/ee236c.html
文再文 北京大学 (运筹学、凸优化、数值优化,包含相关课件及中文版书籍)
http://bicmr.pku.edu.cn/~wenzw/index.html
https://bicmr.pku.edu.cn/~wenzw/optbook.html (最优化)
https://bicmr.pku.edu.cn/~wenzw/optbook/pages/contents/contents.html (最优化)
计算方法 数学科学学院, 中国科学技术大学 童伟华
http://staff.ustc.edu.cn/~tongwh/NA_2021/
CSC2541 Winter 2022 Topics in Machine Learning: Neural Net Training Dynamics(优化)
https://www.cs.toronto.edu/~rgrosse/courses/csc2541_2022/
ECSE 506: Stochastic Control and Decision Theory
https://adityam.github.io/stochastic-control/notes/
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”
迁移学习数据集
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
UCI Machine Learning Repository
https://archive.ics.uci.edu/ml/index.php
Clustering datasets
http://cs.uef.fi/sipu/datasets/
Data for MATLAB hackers
https://cs.nyu.edu/~roweis/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
arXiv Analytics 直接看到最新的arXiv文章
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)
基于TF-IDF算法实现的在线分词工具
找论文源码
download free open source code for you projects (免费下载源码)
Higher educational resources for college, graduate school, and online learning.
Also includes test preparation, admissions essay, and information about financial aid and study abroad programs.
(用来查个人陈述简历模板)
The Eduers.com: Higher Education Online
百度开发者搜索。开发者只需在搜索框中输入关键词,就可以快速查找程序相关的项目文件及信息。
小时百科(数学物理计算数学相关概念介绍)
https://wuli.wiki/online/index.html
菜鸟工具,在线小工具