GitHub afshinea/stanford-cs-229-machine-learning LLM Context

├── LICENSE
├── README.md
├── ar
    ├── LICENSE
    ├── README.md
    ├── cheatsheet-deep-learning.pdf
    ├── cheatsheet-machine-learning-tips-and-tricks.pdf
    ├── cheatsheet-supervised-learning.pdf
    ├── cheatsheet-unsupervised-learning.pdf
    ├── refresher-algebra-calculus.pdf
    ├── refresher-probabilities-statistics.pdf
    └── super-cheatsheet-machine-learning.pdf
├── en
    ├── LICENSE
    ├── README.md
    ├── cheatsheet-deep-learning.pdf
    ├── cheatsheet-machine-learning-tips-and-tricks.pdf
    ├── cheatsheet-supervised-learning.pdf
    ├── cheatsheet-unsupervised-learning.pdf
    ├── refresher-algebra-calculus.pdf
    ├── refresher-probabilities-statistics.pdf
    └── super-cheatsheet-machine-learning.pdf
├── es
    ├── LICENSE
    ├── README.md
    ├── hoja-referencia-aprendizaje-automatico-consejos-trucos.pdf
    ├── hoja-referencia-aprendizaje-no-supervisado.pdf
    ├── hoja-referencia-aprendizaje-profundo.pdf
    ├── hoja-referencia-aprendizaje-supervisado.pdf
    ├── repaso-algebra-lineal-calculo.pdf
    ├── repaso-probabilidades-estadisticas.pdf
    └── super-hoja-referencia-machine-learning.pdf
├── fa
    ├── README.md
    ├── cheatsheet-deep-learning.pdf
    ├── cheatsheet-machine-learning-tips-and-tricks.pdf
    ├── cheatsheet-supervised-learning.pdf
    ├── cheatsheet-unsupervised-learning.pdf
    ├── refresher-algebra-calculus.pdf
    ├── refresher-probabilities-statistics.pdf
    └── super-cheatsheet-machine-learning.pdf
├── fr
    ├── LICENSE
    ├── README.md
    ├── pense-bete-apprentissage-non-supervise.pdf
    ├── pense-bete-apprentissage-profond.pdf
    ├── pense-bete-apprentissage-supervise.pdf
    ├── pense-bete-machine-learning-petites-astuces.pdf
    ├── rappels-algebre-analyse.pdf
    ├── rappels-probabilites-statistiques.pdf
    └── super-pense-bete-machine-learning.pdf
├── pt
    ├── LICENSE
    ├── README.md
    ├── dicas-aprendizado-nao-supervisionado.pdf
    ├── dicas-aprendizado-profundo.pdf
    ├── dicas-aprendizado-supervisionado.pdf
    ├── dicas-truques-aprendizado-maquina.pdf
    ├── revisao-algebra-linear-calculo.pdf
    ├── revisao-probabilidades-estatistica.pdf
    └── super-dicas-machine-learning.pdf
├── tr
    ├── LICENSE
    ├── README.md
    ├── cheatsheet-deep-learning.pdf
    ├── cheatsheet-machine-learning-tips-and-tricks.pdf
    ├── cheatsheet-supervised-learning.pdf
    ├── cheatsheet-unsupervised-learning.pdf
    ├── refresher-algebra-calculus.pdf
    ├── refresher-probabilities-statistics.pdf
    └── super-cheatsheet-machine-learning.pdf
├── vi
    ├── LICENSE
    ├── README.md
    ├── cheatsheet-deep-learning.pdf
    ├── cheatsheet-machine-learning-tips-and-tricks.pdf
    ├── cheatsheet-supervised-learning.pdf
    ├── cheatsheet-unsupervised-learning.pdf
    ├── refresher-algebra-calculus.pdf
    ├── refresher-probabilities-statistics.pdf
    └── super-cheatsheet-machine-learning.pdf
├── zh-tw
    ├── LICENSE
    ├── README.md
    ├── cheatsheet-deep-learning.pdf
    ├── cheatsheet-machine-learning-tips-and-tricks.pdf
    ├── cheatsheet-supervised-learning.pdf
    ├── cheatsheet-unsupervised-learning.pdf
    ├── refresher-algebra-calculus.pdf
    ├── refresher-probabilities-statistics.pdf
    └── super-cheatsheet-machine-learning.pdf
└── zh
    ├── LICENSE
    ├── README.md
    ├── cheatsheet-deep-learning.pdf
    ├── cheatsheet-machine-learning-tips-and-tricks.pdf
    ├── cheatsheet-supervised-learning.pdf
    ├── cheatsheet-unsupervised-learning.pdf
    ├── refresher-algebra-calculus.pdf
    └── refresher-probabilities-statistics.pdf


/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2018 Afshine Amidi and Shervine Amidi
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # Machine Learning cheatsheets for Stanford's CS 229
 2 | 
 3 | Available in [العربية](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) -  [Español](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/es) -  [فارسی](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fr) -  [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) -  [Português](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/pt) -  [Türkçe](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/vi) -  [简中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh) -  [繁中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh-tw)
 4 | 
 5 | ## Goal
 6 | This repository aims at summing up in the same place all the important notions that are covered in Stanford's CS 229 Machine Learning course, and include:
 7 | - **Refreshers** in related topics that highlight the key points of the **prerequisites of the course**.
 8 | - **Cheatsheets for each machine learning field**, as well as another dedicated to tips and tricks to have in mind when training a model.
 9 | - All elements of the above combined in an **ultimate compilation of concepts**, to have with you at all times!
10 | 
11 | ## Content
12 | #### VIP Cheatsheets
13 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-001.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-002.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-003.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-004.png" alt="Illustration" width="220px"/></a>|
14 | |:--:|:--:|:--:|:--:|
15 | |Supervised Learning|Unsupervised Learning|Deep Learning|Tips and tricks|
16 | 
17 | #### VIP Refreshers
18 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-005.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-006.png#1" alt="Illustration" width="220px"/></a>|
19 | |:--:|:--:|
20 | |Probabilities and Statistics|Algebra and Calculus|
21 | 
22 | 
23 | #### Super VIP Cheatsheet
24 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-007.png" alt="Illustration" width="400px"/></a>|
25 | |:--:|
26 | |All the above gathered in one place|
27 | 
28 | ## Website
29 | This material is also available on a dedicated [website](https://stanford.edu/~shervine/teaching/cs-229), so that you can enjoy reading it from any device.
30 | 
31 | ## Translation
32 | Would you like to see these cheatsheets in your native language? You can help us translating them on [this dedicated repo](https://github.com/shervinea/cheatsheet-translation)!
33 | 
34 | ## Authors
35 | [Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) and [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
36 | 


--------------------------------------------------------------------------------
/ar/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2018 Afshine Amidi and Shervine Amidi
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


--------------------------------------------------------------------------------
/ar/README.md:
--------------------------------------------------------------------------------
 1 | <span dir="rtl" align="right">
 2 | 
 3 | # أدلة تعلم الآلة القصيرة لـ CS ۲۲۹
 4 | 
 5 | متوفر في
 6 | 
 7 | </span>
 8 | 
 9 | **العربية** -  [English](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/en) -  [Español](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/es) -  [فارسی](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fr) -  [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) -  [Português](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/pt) -  [Türkçe](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/vi) -  [简中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh) -  [繁中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh-tw)
10 | 
11 | <span dir="rtl" align="right">
12 | 
13 | ## محتوى
14 | #### دليل قصير خاص
15 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/ar/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fa-001.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/ar/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fa-002.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/ar/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fa-003.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/ar/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fa-004.png?" alt="Illustration" width="220px"/></a>|
16 | |:--:|:--:|:--:|:--:|
17 | |تعلم مراقب|تعلم غير مراقب|تعلم متعمق|لنصائح وحيل تعلّم الآلة
18 | 
19 | 
20 | 
21 | #### تذكير خاص
22 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/ar/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fa-005.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/ar/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fa-006.png" alt="Illustration" width="220px"/></a>|
23 | |:--:|:--:|
24 | |للاحتمالات والإحصاء|الجبر الخطي و التفاضل و التكامل
25 | 
26 | 
27 | #### دليل قصير خاص جدا
28 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/ar/super-cheatsheet-machine-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fa-007.png" alt="Illustration" width="400px"/></a>|
29 | |:--:|
30 | |مثل في مكان واحد
31 | 
32 | 
33 | ## المؤلفون الأصليون
34 | 
35 | [افشین عمیدی](https://twitter.com/afshinea) (سنترال پاریس، ام آی تی) و [شروین عمیدی](https://twitter.com/shervinea) (سنترال پاریس، استنفرد).
36 | 
37 | ## ترجمة
38 | زيد اليافعي، فارس القنيعير، أمجد الخطابي، مازن مليباري، محمود أصلان، رضوان لغوينسات، امجد الخطابي
39 | 
40 | </span>
41 | 


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/en/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2018 Afshine Amidi and Shervine Amidi
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


--------------------------------------------------------------------------------
/en/README.md:
--------------------------------------------------------------------------------
 1 | # Machine Learning cheatsheets for Stanford's CS 229
 2 | Available in [العربية](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/ar) -  **English** -  [Español](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/es) -  [فارسی](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fr) -  [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) -  [Português](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/pt) -  [Türkçe](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/vi) -  [简中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh) -  [繁中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh-tw)
 3 | 
 4 | ## Goal
 5 | This repository aims at summing up in the same place all the important notions that are covered in Stanford's CS 229 Machine Learning course, and include:
 6 | - **Refreshers** in related topics that highlight the key points of the **prerequisites of the course**.
 7 | - **Cheatsheets for each machine learning field**, as well as another dedicated to tips and tricks to have in mind when training a model.
 8 | - All elements of the above combined in an **ultimate compilation of concepts**, to have with you at all times!
 9 | 
10 | ## Content
11 | #### VIP Cheatsheets
12 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-001.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-002.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-003.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-004.png" alt="Illustration" width="220px"/></a>|
13 | |:--:|:--:|:--:|:--:|
14 | |Supervised Learning|Unsupervised Learning|Deep Learning|Tips and tricks|
15 | 
16 | #### VIP Refreshers
17 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-005.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-006.png#1" alt="Illustration" width="220px"/></a>|
18 | |:--:|:--:|
19 | |Probabilities and Statistics|Algebra and Calculus|
20 | 
21 | 
22 | #### Super VIP Cheatsheet
23 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-007.png" alt="Illustration" width="400px"/></a>|
24 | |:--:|
25 | |All the above gathered in one place|
26 | 
27 | ## Website
28 | This material is also available on a dedicated [website](https://stanford.edu/~shervine/teaching/cs-229), so that you can enjoy reading it from any device.
29 | 
30 | ## Translation
31 | Would you like to see these cheatsheets in your native language? You can help us translating them on [this dedicated repo](https://github.com/shervinea/cheatsheet-translation)!
32 | 
33 | ## Authors
34 | [Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) and [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
35 | 


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/es/LICENSE:
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 1 | MIT License
 2 | 
 3 | Copyright (c) 2018 Afshine Amidi and Shervine Amidi
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/es/README.md:
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 1 | # Hojas de referencia de Machine Learning (CS 229 Stanford)
 2 | Disponible en [العربية](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) -  **Español** -  [فارسی](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fr) -  [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) -  [Português](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/pt) -  [Türkçe](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/vi) -  [简中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh) -  [繁中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh-tw)
 3 | 
 4 | ## Contenido
 5 | #### Hojas de referencia VIP
 6 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/es/hoja-referencia-aprendizaje-supervisado.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/es-001.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/es/hoja-referencia-aprendizaje-no-supervisado.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/es-002.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/es/hoja-referencia-aprendizaje-profundo.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/es-003.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/es/hoja-referencia-aprendizaje-automatico-consejos-trucos.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/es-004.png" alt="Illustration" width="220px"/></a>|
 7 | |:--:|:--:|:--:|:--:|
 8 | |Aprendizaje supervisado|Aprendizaje no supervisado|Aprendizaje profundo|Consejos y trucos|
 9 | 
10 | #### Repaso VIP
11 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/es/repaso-probabilidades-estadisticas.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/es-005.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/es/repaso-algebra-lineal-calculo.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/es-006.png#1" alt="Illustration" width="220px"/></a>|
12 | |:--:|:--:|
13 | |Probabilidades y estadísticas|Álgebra y cálculo|
14 | 
15 | #### Super hoja de referencia VIP
16 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/es/super-hoja-referencia-machine-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/es-007.png" alt="Illustration" width="400px"/></a>|
17 | |:--:|
18 | |Todo|
19 | 
20 | ## Autores
21 | [Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) y [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
22 | 
23 | ## Traductores
24 | Fernando Diaz, Juan P. Chavat, Erick Gabriel Mendoza Flores, Fernando González- Herrera, Mariano Ramirez, Alonso Melgar López, Gustavo Velasco-Hernández, David Jiménez Paredes, Fermin Ordaz, Jaime Noel Alvarez Luna y Juan Manuel Nava Zamudio.
25 | 


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 1 | <span dir="rtl" align="right">
 2 | 
 3 | # راهنماهای کوتاه یادگیری ماشین برای کلاس CS ۲۲۹ استنفرد
 4 | 
 5 | قابل دسترسی هم در
 6 | 
 7 | </span>
 8 | 
 9 | [العربية](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) -  [Español](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/es) -  **فارسی** -  [Français](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fr) -  [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) -  [Português](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/pt) -  [Türkçe](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/vi) -  [简中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh) -  [繁中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh-tw)
10 | 
11 | <span dir="rtl" align="right">
12 | 
13 | ## محتوا
14 | #### راهنمای کوتاه ویژه
15 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/fa/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fa-001.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/fa/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fa-002.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/fa/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fa-003.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/fa/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fa-004.png?" alt="Illustration" width="220px"/></a>|
16 | |:--:|:--:|:--:|:--:|
17 | |یادگیری با نظارت|یادگیری بدون نظارت|یادگیری عمیق|نکات و ترفندها
18 | 
19 | 
20 | 
21 | #### یادآوری ویژه
22 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/fa/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fa-005.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/fa/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fa-006.png" alt="Illustration" width="220px"/></a>|
23 | |:--:|:--:|
24 | |آمار و احتمالات|جبر خطی و حسابان
25 | 
26 | 
27 | #### راهنمای کوتاه بسیار ویژه
28 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/fa/super-cheatsheet-machine-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fa-007.png" alt="Illustration" width="400px"/></a>|
29 | |:--:|
30 | |همچی در یک جا
31 | 
32 | 
33 | ## نویسندگان اصلی
34 | 
35 | [افشین عمیدی](https://twitter.com/afshinea) (سنترال پاریس، ام آی تی) و [شروین عمیدی](https://twitter.com/shervinea) (سنترال پاریس، استنفرد).
36 | 
37 | ## ترجمه
38 | عرفان نوری، امیرحسین کاظم نژاد، محمد کریمی، الیستر، محمد رضا.
39 | 
40 | 
41 | </span>
42 | 


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/fr/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2018 Afshine Amidi and Shervine Amidi
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/fr/README.md:
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 1 | # Pense-bêtes de Machine Learning pour CS 229 de Stanford
 2 | Disponible en [العربية](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) -  [Español](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/es) -  [فارسی](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fa) -  **Français** -  [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) -  [Português](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/pt) -  [Türkçe](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/vi) -  [简中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh) -  [繁中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh-tw)
 3 | 
 4 | ## But
 5 | Ce repo a pour but de résumer toutes les notions importantes du cours de Machine Learning (CS 229) de Stanford, et inclut en particulier :
 6 | - **Rappels** de mathématiques qui soulignent les **pré-requis du cours**.
 7 | - **Pense-bêtes pour chaque domaine de Machine Learning**, accompagné d'une fiche de petites astuces, utile lorsque vous construisez un modèle en pratique.
 8 | - Tous les éléments ci-dessus **compilés**, à avoir avec vous tout le temps !
 9 | 
10 | ## Contenu
11 | #### Pense-bêtes VIP
12 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/fr/pense-bete-apprentissage-supervise.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fr-001.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/fr/pense-bete-apprentissage-non-supervise.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fr-002.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/fr/pense-bete-apprentissage-profond.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fr-003.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/fr/pense-bete-machine-learning-petites-astuces.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fr-004.png" alt="Illustration" width="220px"/></a>|
13 | |:--:|:--:|:--:|:--:|
14 | |Apprentissage supervisé|Apprentissage non-supervisé|Apprentissage profond|Petites astuces|
15 | 
16 | #### Rappels VIP
17 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/fr/rappels-probabilites-statistiques.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fr-005.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/fr/rappels-algebre-analyse.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fr-006.png#1" alt="Illustration" width="220px"/></a>|
18 | |:--:|:--:|
19 | |Probabilités and Statistiques|Algèbre et Analyse|
20 | 
21 | 
22 | #### Super Pense-bête VIP
23 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/fr/super-pense-bete-machine-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/fr-007.png" alt="Illustration" width="400px"/></a>|
24 | |:--:|
25 | |Tous les concepts rassemblés à un seul endroit|
26 | 
27 | ## Site
28 | Les fiches sont aussi disponibles sur un [site dedié](https://stanford.edu/~shervine/l/fr/teaching/cs-229), de manière à ce que vous puissiez les parcourir à partir de n'importe quel appareil.
29 | 
30 | ## Auteurs
31 | [Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) et [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
32 | 


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/pt/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2018 Afshine Amidi and Shervine Amidi
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/pt/README.md:
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 1 | # Dicas de Machine Learning (CS 229 Stanford)
 2 | Disponível em [العربية](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) -  [Español](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/es) -  [فارسی](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fr) -  [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) -  **Português** -  [Türkçe](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/vi) -  [简中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh) -  [繁中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh-tw)
 3 | 
 4 | ## Conteúdo
 5 | #### Dicas VIP
 6 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/pt/dicas-aprendizado-supervisionado.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/pt-001.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/pt/dicas-aprendizado-nao-supervisionado.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/pt-002.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/pt/dicas-aprendizado-profundo.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/pt-003.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/pt/dicas-truques-aprendizado-maquina.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/pt-004.png" alt="Illustration" width="220px"/></a>|
 7 | |:--:|:--:|:--:|:--:|
 8 | |Aprendizado supervisionado|Aprendizado não supervisionado|Aprendizado profundo|Dicas e truques|
 9 | 
10 | #### Revisão VIP
11 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/pt/revisao-probabilidades-estatistica.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/pt-005.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/pt/revisao-algebra-linear-calculo.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/pt-006.png#1" alt="Illustration" width="220px"/></a>|
12 | |:--:|:--:|
13 | |Probabilidades e estatística|Álgebra e cálculo|
14 | 
15 | #### Super dica VIP
16 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/pt/super-dicas-machine-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/pt-007.png" alt="Illustration" width="400px"/></a>|
17 | |:--:|
18 | |Tudo|
19 | 
20 | ## Autores
21 | [Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) e [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
22 | 
23 | ## Tradutores
24 | Gabriel Fonseca, Leticia Portella, Fernando Santos, Flavio Clesio, Tiago Danin
25 | 


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/tr/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2019 Afshine Amidi and Shervine Amidi
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/tr/README.md:
--------------------------------------------------------------------------------
 1 | # Makine Öğrenimi El Kitabı (Stanford CS 229)
 2 | 
 3 | Içinde mevcut [العربية](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) -  [Español](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/es) -  [فارسی](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fr) -  [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) -  [Português](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/pt) -  **Türkçe** - [Tiếng Việt](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/vi) -  [简中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh) -  [繁中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh-tw)
 4 | 
 5 | ## Içindekiler
 6 | #### El Kitabı VIP
 7 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/tr/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/tr-001.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/tr/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/tr-002.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/tr/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/tr-003.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/tr/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/tr-004.png" alt="Illustration" width="220px"/></a>|
 8 | |:--:|:--:|:--:|:--:|
 9 | |Gözetimli Öğrenme|Gözetimsiz Öğrenme|Derin Öğrenme|Ipuçları ve püf noktaları|
10 | 
11 | #### Hatırlatma VIP
12 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/tr/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/tr-005.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/tr/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/tr-006.png#1" alt="Illustration" width="220px"/></a>|
13 | |:--:|:--:|
14 | |Olasılık ve İstatistik|Doğrusal Cebir ve Kalkülüs|
15 | 
16 | 
17 | #### El Kitabı Super VIP
18 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/tr/super-cheatsheet-machine-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/tr-007.png" alt="Illustration" width="400px"/></a>|
19 | |---|
20 | 
21 | 
22 | ## Yazarlar
23 | [Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) ve [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
24 | 
25 | 
26 | ## Tercümanlar
27 | Başak Buluz, Ayyüce Kızrak, Yavuz Kömeçoğlu, Ekrem Çetinkaya, Omer Bukte, Seray Beşer ve Kadir Tekeli
28 | 


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/vi/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2018 Afshine Amidi and Shervine Amidi
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/vi/README.md:
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 1 | # Học máy cheatsheets (Stanford CS 229)
 2 | 
 3 | Có sẵn bằng [العربية](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) -  [Español](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/es) -  [فارسی](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fr) -  [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) -  [Português](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/pt) -  [Türkçe](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/tr) - **Tiếng Việt** - [简中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh) -  [繁中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh-tw)
 4 | 
 5 | ## Nội dung
 6 | #### VIP cheatsheets
 7 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/vi/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/vi-001.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/vi/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/vi-002.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/vi/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/vi-003.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/vi/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/vi-004.png" alt="Illustration" width="220px"/></a>|
 8 | |:--:|:--:|:--:|:--:|
 9 | |Học có giám sát|Học không giám sát|Học sâu|Các mẹo và thủ thuật|
10 | 
11 | #### VIP refreshers
12 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/vi/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/vi-005.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/vi/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/vi-006.png#1" alt="Illustration" width="220px"/></a>|
13 | |:--:|:--:|
14 | |Xác suất và Thống kê cơ bản|Đại số tuyến tính và Giải tích cơ bản|
15 | 
16 | 
17 | #### Super VIP cheatsheet
18 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/vi/super-cheatsheet-machine-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/vi-007.png" alt="Illustration" width="400px"/></a>|
19 | |---|
20 | 
21 | 
22 | ## Các tác giả
23 | [Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, Viện Công nghệ Massachusetts) và [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Đại học Stanford)
24 | 
25 | 
26 | ## Dịch thuật
27 | Trần Tuấn Anh, Hoàng Vũ Đạt, Nguyễn Khánh Hưng, Nguyễn Trí Minh, Hung Nguyễn, Vinh Pham, Đàm Minh Tiến, Hoàng Minh Tuấn và Phạm Hồng Vinh
28 | 


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/zh-tw/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2018 Afshine Amidi and Shervine Amidi
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/zh-tw/README.md:
--------------------------------------------------------------------------------
 1 | # 機器學習 (CS 229 Stanford)
 2 | 可得到 [العربية](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) -  [Español](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/es) -  [فارسی](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fr) -  [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) -  [Português](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/pt) -  [Türkçe](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/vi) -  [简中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh) -  **繁中**
 3 | 
 4 | ## 內容
 5 | #### VIP Cheatsheets
 6 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh-tw/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-001.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh-tw/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-002.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh-tw/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-003.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh-tw/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-004.png" alt="Illustration" width="220px"/></a>|
 7 | |:--:|:--:|:--:|:--:|
 8 | |監督學習|無監督學習|深度學習|機器學習技巧和秘訣|
 9 | 
10 | #### VIP Refreshers
11 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh-tw/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-005.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh-tw/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-006.png#1" alt="Illustration" width="220px"/></a>|
12 | |:--:|:--:|
13 | |概率和統計|線性代數和微積分|
14 | 
15 | ## 作者
16 | [Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) 和 [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
17 | 
18 | ## 譯者
19 | kevingo, TobyOoO, kentropy, 詹志傑, imironhead, 徐承漢 和 Miyaya
20 | 


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/zh/LICENSE:
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 1 | MIT License
 2 | 
 3 | Copyright (c) 2018 Afshine Amidi and Shervine Amidi
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/zh/README.md:
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 1 | # 机器学习 (CS 229 Stanford)
 2 | 可得到 [العربية](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) -  [Español](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/es) -  [فارسی](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fr) -  [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) -  [Português](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/pt) -  [Türkçe](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/tr) - [Tiếng Việt](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)
 3 | 
 4 | ## 内容
 5 | #### VIP Cheatsheets
 6 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-001.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-002.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-003.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-004.png" alt="Illustration" width="220px"/></a>|
 7 | |:--:|:--:|:--:|:--:|
 8 | |监督学习|无监督学习|深度学习|机器学习技巧和秘诀|
 9 | 
10 | #### VIP Refreshers
11 | |<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-005.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-006.png#1" alt="Illustration" width="220px"/></a>|
12 | |:--:|:--:|
13 | |概率和统计|线性代数和微积分|
14 | 
15 | ## 作者
16 | [Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) 和 [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
17 | 
18 | ## 译者
19 | Wang Hongnian, Xiaohu Zhu, Chaoying Xue
20 | 


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