stanford-cs-229-machine-learning

所属分类:人工智能/神经网络/深度学习
开发工具:Others
文件大小:37350KB
下载次数:0
上传日期:2020-05-20 04:57:25
上 传 者sh-1993
说明:  斯坦福大学cs 229机器学习的VIP作弊单
(stanford-cs-229-machine-learning,VIP cheatsheets for Stanford s CS 229 Machine Learning)

文件列表:
LICENSE (1089, 2020-05-20)
ar (0, 2020-05-20)
ar\LICENSE (1089, 2020-05-20)
ar\cheatsheet-deep-learning.pdf (121165, 2020-05-20)
ar\cheatsheet-machine-learning-tips-and-tricks.pdf (358499, 2020-05-20)
ar\cheatsheet-supervised-learning.pdf (363563, 2020-05-20)
ar\cheatsheet-unsupervised-learning.pdf (212089, 2020-05-20)
ar\refresher-algebra-calculus.pdf (67506, 2020-05-20)
ar\refresher-probabilities-statistics.pdf (71117, 2020-05-20)
ar\super-cheatsheet-machine-learning.pdf (962737, 2020-05-20)
en (0, 2020-05-20)
en\LICENSE (1089, 2020-05-20)
en\cheatsheet-deep-learning.pdf (342937, 2020-05-20)
en\cheatsheet-machine-learning-tips-and-tricks.pdf (570460, 2020-05-20)
en\cheatsheet-supervised-learning.pdf (656642, 2020-05-20)
en\cheatsheet-unsupervised-learning.pdf (456557, 2020-05-20)
en\refresher-algebra-calculus.pdf (309547, 2020-05-20)
en\refresher-probabilities-statistics.pdf (339277, 2020-05-20)
en\super-cheatsheet-machine-learning.pdf (1325917, 2020-05-20)
es (0, 2020-05-20)
es\LICENSE (1089, 2020-05-20)
es\hoja-referencia-aprendizaje-automatico-consejos-trucos.pdf (595844, 2020-05-20)
es\hoja-referencia-aprendizaje-no-supervisado.pdf (459304, 2020-05-20)
es\hoja-referencia-aprendizaje-profundo.pdf (345750, 2020-05-20)
es\hoja-referencia-aprendizaje-supervisado.pdf (661552, 2020-05-20)
es\repaso-algebra-lineal-calculo.pdf (317342, 2020-05-20)
es\repaso-probabilidades-estadisticas.pdf (343896, 2020-05-20)
es\super-hoja-referencia-machine-learning.pdf (1366735, 2020-05-20)
fa (0, 2020-05-20)
fa\cheatsheet-deep-learning.pdf (136724, 2020-05-20)
fa\cheatsheet-machine-learning-tips-and-tricks.pdf (378252, 2020-05-20)
fa\cheatsheet-supervised-learning.pdf (374441, 2020-05-20)
fa\cheatsheet-unsupervised-learning.pdf (230823, 2020-05-20)
fa\refresher-algebra-calculus.pdf (73821, 2020-05-20)
... ...

# 机器学习 (CS 229 Stanford) 可得到 [](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/ar) - [English](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/en) - [Espanol](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/es) - [](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fa) - [Francais](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fr) - [](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) - [Portugues](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/pt) - [Turkce](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/tr) - [Tieng Viet](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/vi) - **简中** - [繁中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh-tw) ## 内容 #### VIP Cheatsheets |Illustration|Illustration|Illustration|Illustration| |:--:|:--:|:--:|:--:| |监督学习|无监督学习|深度学习|机器学习技巧和秘诀| #### VIP Refreshers |Illustration|Illustration| |:--:|:--:| |概率和统计|线性代数和微积分| ## 作者 [Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) 和 [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University) ## 译者 Wang Hongnian, Xiaohu Zhu, Chaoying Xue

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