機器學習相關網址

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/

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、天然語言處理、圖像識別…數據智能工做纔是數據的將來！

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

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 機率論：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/

5. 其餘

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

【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/

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