機器學習相關網址

作者：凱魯嘎吉 - 博客園 http://www.cnblogs.com/kailugaji/

更多內容，請看：文獻查找

1. 個人博客

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/ 

劉未鵬 | Mind Hacks – 思維改變生活 

http://mindhacks.cn/ 

lucky6.coding.me 

http://lucky6.coding.me/ 

科學空間|Scientific Spaces 

https://spaces.ac.cn/ 

吳良超的學習筆記

http://wulc.me/

Unsupervised learning: The curious pupil | DeepMind 

https://deepmind.com/blog/article/unsupervised-learning 

一些關於機器學習的網站總結 | LiXiang  NLP

http://www.leexiang.com/a-summary-of-some-websites-about-machine-learning 

標點符 – 技術，思考，人生  聚類、相似度度量，機器學習

https://www.biaodianfu.com/ 

Mophei's blog——優化問題

https://mopheiok.github.io/

Math ∩ Programming 

https://jeremykun.com/

The Clever Machine | Topics in Computational Neuroscience & Machine Learning  計算神經科學與機器學習博客

https://theclevermachine.wordpress.com/ 

盧明冬的博客 | 自由思考的空間 

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 機器學習與深度學習(包括聚類)

https://ustccoder.github.io/

圓眼睛的阿凡提哥哥(數學相關)

https://murongxixi.github.io/

2. 相關書籍

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/

機器學習原理 

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/ 

數據常青藤 | 人工智能、機器學習、深度學習、神經網絡、模式識別、自然語言處理、圖像識別…數據智能工作才是數據的未來！ 

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/ 

吳恩達《機器學習》筆記

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

周志華《機器學習》學習筆記

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

邱錫鵬：《神經網絡與深度學習》

https://nndl.github.io/

深度學習閱讀清單

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

Awesome Deep Learning 中文版

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

AI算法工程師手冊

http://www.huaxiaozhuan.com/

李航《統計學習方法》(第2版）課件

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

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

鳩摩搜索(用來搜索pdf書籍，免費下載電子書)

https://www.jiumodiary.com/

腳本之家(免費下載電子書)

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

Introduction to Information Retrieval（信息檢索導論，有文本分類，聚類）

https://nlp.stanford.edu/IR-book/ 

3. 計算機課程

工程數值分析| 電氣與計算機工程系| 滑鐵盧大學 

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

Machine Learning - complete course notes 

http://www.holehouse.org/mlclass/ 

Stephen P. Boyd  凸優化，優化問題，近端算法等運籌學知識

https://web.stanford.edu/~boyd/ 

Level Set Method: an Explanation 

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

Carlos Rodriguez's Home Page  概率論：科學的邏輯

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 無監督學習

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

Yee Whye Teh  統計機器學習，貝葉斯

https://www.stats.ox.ac.uk/~teh/ 

OxCSML : Groups : Machine Learning  統計機器學習

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 

高斯過程

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

4. 數據集

各領域公開數據集下載 - 知乎 

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

常見公開數據集（持續更新...） - 簡書 

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

100款機器學習數據集 - 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 

人工智能機器學習數據集收集整理--持續更新中 - 簡書 

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

CVonline: Image Databases 

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

【機器學習數據集大列表】“Dataset list — A list of the biggest machine learning datasets”

https://www.datasetlist.com/

遷移學習數據集

http://transferlearning.xyz/

LIBSVM Data: Classification, Regression, and Multi-label

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

用於特征學習的代碼和數據集(LapGMM)

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

5. 其他

林子雨編著-大數據軟件安裝和編程實踐指南_廈門大學數據庫實驗室 

http://dblab.xmu.edu.cn/post/7586/ 

Peer to Peer (P2P,對等網絡) 綜述 

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

GitHub - jindongwang/transferlearning: Everything about Transfer Learning and Domain Adaptation--遷移學習 

https://github.com/jindongwang/transferlearning 

在線 LaTeX 公式編輯器 

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

Wolfram MathWorld: The Web's Most Extensive Mathematics Resource  線上數學百科全書

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 

計算機視覺方面博客及代碼 - 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降維，特征選擇工具箱)

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

【數據科學機器學習算法速查】《101 Machine Learning Algorithms for Data Science | Data Science Blog》by Nathan Piccini

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

我愛分享網(用來下載軟件)

http://www.zhanshaoyi.com/

基於TF-IDF算法實現的在線分詞工具

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