凯鲁嘎吉
用书写铭记日常,最迷人的不在远方

机器学习相关网址

作者:凯鲁嘎吉 - 博客园 http://www.cnblogs.com/kailugaji/

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1. 个人博客/个人主页

Free Mind

http://freemind.pluskid.org/ 

Junhao Hua 博客 | huajh7's Blog 

http://blog.huajh7.com/ 

https://huajh.github.io/

Jorbe's Blog | Never say never 

http://jorbe.sinaapp.com/ 

刘未鹏 | Mind Hacks – 思维改变生活 

http://mindhacks.cn/ 

lucky6.coding.me 

http://lucky6.coding.me/ 

科学空间|Scientific Spaces 

https://spaces.ac.cn/ 

吴良超的学习笔记

http://wulc.me/

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

https://www.biaodianfu.com/ 

Mophei's blog——优化问题

https://mopheiok.github.io/

Math ∩ Programming 

https://jeremykun.com/

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 

https://lumingdong.cn/

SHEN's BLOG 

https://shenxiaohai.me/  

Agustinus Kristiadi's Blog 

Uncertainty quantification in deep learning、Bayesian inference and Riemannian geometry

https://wiseodd.github.io/

USTCcoder 机器学习与深度学习(包括聚类)

https://ustccoder.github.io/

圆眼睛的阿凡提哥哥(数学相关)

https://murongxixi.github.io/

Jindong Wang's Personal Website (王晋东 迁移学习)

http://jd92.wang/

机器不太会学习(范数、优化)

https://sakigami-yang.me/

关于GAN

http://www.twistedwg.com/

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

https://xifengguo.github.io/

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. 

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

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》

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/ 

Home | Bookdown R语言,数据挖掘在线书籍

https://bookdown.org/

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

https://zh-v2.d2l.ai/

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

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/

| 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”

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

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

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  

找论文源码

https://paperswithcode.com/

https://www.catalyzex.com/

https://github.com/

download free open source code for you projects (免费下载源码)

http://freesourcecode.net/

 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

https://www.studential.com/

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。

https://kaifa.baidu.com/home

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

https://c.runoob.com/

posted on 2019-09-04 15:15  凯鲁嘎吉  阅读(2002)  评论(0编辑  收藏  举报