chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
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MIT License
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|
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Copyright (c) 2018 Afshine Amidi and Shervine Amidi
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
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# Machine Learning cheatsheets for Stanford's CS 229
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|
||||
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)
|
||||
|
||||
## Goal
|
||||
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:
|
||||
- **Refreshers** in related topics that highlight the key points of the **prerequisites of the course**.
|
||||
- **Cheatsheets for each machine learning field**, as well as another dedicated to tips and tricks to have in mind when training a model.
|
||||
- All elements of the above combined in an **ultimate compilation of concepts**, to have with you at all times!
|
||||
|
||||
## Content
|
||||
#### VIP Cheatsheets
|
||||
|<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>|
|
||||
|:--:|:--:|:--:|:--:|
|
||||
|Supervised Learning|Unsupervised Learning|Deep Learning|Tips and tricks|
|
||||
|
||||
#### VIP Refreshers
|
||||
|<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>|
|
||||
|:--:|:--:|
|
||||
|Probabilities and Statistics|Algebra and Calculus|
|
||||
|
||||
|
||||
#### Super VIP Cheatsheet
|
||||
|<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>|
|
||||
|:--:|
|
||||
|All the above gathered in one place|
|
||||
|
||||
## Website
|
||||
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.
|
||||
|
||||
## Translation
|
||||
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)!
|
||||
|
||||
## Authors
|
||||
[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) and [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
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# WeHub 来源说明
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- 原始项目：`afshinea/stanford-cs-229-machine-learning`
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- 原始仓库：https://github.com/afshinea/stanford-cs-229-machine-learning
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- 导入方式：上游默认分支的最新快照
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- 原作者、版权和许可证信息以原始仓库及本仓库 LICENSE 为准
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- 本文件仅用于记录来源，不代表 WeHub 是原项目作者
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+21
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MIT License
|
||||
|
||||
Copyright (c) 2018 Afshine Amidi and Shervine Amidi
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
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<span dir="rtl" align="right">
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# أدلة تعلم الآلة القصيرة لـ CS ۲۲۹
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متوفر في
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</span>
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||||
|
||||
**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)
|
||||
|
||||
<span dir="rtl" align="right">
|
||||
|
||||
## محتوى
|
||||
#### دليل قصير خاص
|
||||
|<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>|
|
||||
|:--:|:--:|:--:|:--:|
|
||||
|تعلم مراقب|تعلم غير مراقب|تعلم متعمق|لنصائح وحيل تعلّم الآلة
|
||||
|
||||
|
||||
|
||||
#### تذكير خاص
|
||||
|<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>|
|
||||
|:--:|:--:|
|
||||
|للاحتمالات والإحصاء|الجبر الخطي و التفاضل و التكامل
|
||||
|
||||
|
||||
#### دليل قصير خاص جدا
|
||||
|<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>|
|
||||
|:--:|
|
||||
|مثل في مكان واحد
|
||||
|
||||
|
||||
## المؤلفون الأصليون
|
||||
|
||||
[افشین عمیدی](https://twitter.com/afshinea) (سنترال پاریس، ام آی تی) و [شروین عمیدی](https://twitter.com/shervinea) (سنترال پاریس، استنفرد).
|
||||
|
||||
## ترجمة
|
||||
زيد اليافعي، فارس القنيعير، أمجد الخطابي، مازن مليباري، محمود أصلان، رضوان لغوينسات، امجد الخطابي
|
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|
||||
</span>
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+21
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|
||||
MIT License
|
||||
|
||||
Copyright (c) 2018 Afshine Amidi and Shervine Amidi
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
@@ -0,0 +1,34 @@
|
||||
# Machine Learning cheatsheets for Stanford's CS 229
|
||||
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)
|
||||
|
||||
## Goal
|
||||
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:
|
||||
- **Refreshers** in related topics that highlight the key points of the **prerequisites of the course**.
|
||||
- **Cheatsheets for each machine learning field**, as well as another dedicated to tips and tricks to have in mind when training a model.
|
||||
- All elements of the above combined in an **ultimate compilation of concepts**, to have with you at all times!
|
||||
|
||||
## Content
|
||||
#### VIP Cheatsheets
|
||||
|<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>|
|
||||
|:--:|:--:|:--:|:--:|
|
||||
|Supervised Learning|Unsupervised Learning|Deep Learning|Tips and tricks|
|
||||
|
||||
#### VIP Refreshers
|
||||
|<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>|
|
||||
|:--:|:--:|
|
||||
|Probabilities and Statistics|Algebra and Calculus|
|
||||
|
||||
|
||||
#### Super VIP Cheatsheet
|
||||
|<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>|
|
||||
|:--:|
|
||||
|All the above gathered in one place|
|
||||
|
||||
## Website
|
||||
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.
|
||||
|
||||
## Translation
|
||||
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)!
|
||||
|
||||
## Authors
|
||||
[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) and [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
|
||||
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+21
@@ -0,0 +1,21 @@
|
||||
MIT License
|
||||
|
||||
Copyright (c) 2018 Afshine Amidi and Shervine Amidi
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
@@ -0,0 +1,24 @@
|
||||
# Hojas de referencia de Machine Learning (CS 229 Stanford)
|
||||
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)
|
||||
|
||||
## Contenido
|
||||
#### Hojas de referencia VIP
|
||||
|<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>|
|
||||
|:--:|:--:|:--:|:--:|
|
||||
|Aprendizaje supervisado|Aprendizaje no supervisado|Aprendizaje profundo|Consejos y trucos|
|
||||
|
||||
#### Repaso VIP
|
||||
|<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>|
|
||||
|:--:|:--:|
|
||||
|Probabilidades y estadísticas|Álgebra y cálculo|
|
||||
|
||||
#### Super hoja de referencia VIP
|
||||
|<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>|
|
||||
|:--:|
|
||||
|Todo|
|
||||
|
||||
## Autores
|
||||
[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) y [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
|
||||
|
||||
## Traductores
|
||||
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.
|
||||
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|
||||
<span dir="rtl" align="right">
|
||||
|
||||
# راهنماهای کوتاه یادگیری ماشین برای کلاس CS ۲۲۹ استنفرد
|
||||
|
||||
قابل دسترسی هم در
|
||||
|
||||
</span>
|
||||
|
||||
[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)
|
||||
|
||||
<span dir="rtl" align="right">
|
||||
|
||||
## محتوا
|
||||
#### راهنمای کوتاه ویژه
|
||||
|<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>|
|
||||
|:--:|:--:|:--:|:--:|
|
||||
|یادگیری با نظارت|یادگیری بدون نظارت|یادگیری عمیق|نکات و ترفندها
|
||||
|
||||
|
||||
|
||||
#### یادآوری ویژه
|
||||
|<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>|
|
||||
|:--:|:--:|
|
||||
|آمار و احتمالات|جبر خطی و حسابان
|
||||
|
||||
|
||||
#### راهنمای کوتاه بسیار ویژه
|
||||
|<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>|
|
||||
|:--:|
|
||||
|همچی در یک جا
|
||||
|
||||
|
||||
## نویسندگان اصلی
|
||||
|
||||
[افشین عمیدی](https://twitter.com/afshinea) (سنترال پاریس، ام آی تی) و [شروین عمیدی](https://twitter.com/shervinea) (سنترال پاریس، استنفرد).
|
||||
|
||||
## ترجمه
|
||||
عرفان نوری، امیرحسین کاظم نژاد، محمد کریمی، الیستر، محمد رضا.
|
||||
|
||||
|
||||
</span>
|
||||
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|
||||
MIT License
|
||||
|
||||
Copyright (c) 2018 Afshine Amidi and Shervine Amidi
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
@@ -0,0 +1,31 @@
|
||||
# Pense-bêtes de Machine Learning pour CS 229 de Stanford
|
||||
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)
|
||||
|
||||
## But
|
||||
Ce repo a pour but de résumer toutes les notions importantes du cours de Machine Learning (CS 229) de Stanford, et inclut en particulier :
|
||||
- **Rappels** de mathématiques qui soulignent les **pré-requis du cours**.
|
||||
- **Pense-bêtes pour chaque domaine de Machine Learning**, accompagné d'une fiche de petites astuces, utile lorsque vous construisez un modèle en pratique.
|
||||
- Tous les éléments ci-dessus **compilés**, à avoir avec vous tout le temps !
|
||||
|
||||
## Contenu
|
||||
#### Pense-bêtes VIP
|
||||
|<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>|
|
||||
|:--:|:--:|:--:|:--:|
|
||||
|Apprentissage supervisé|Apprentissage non-supervisé|Apprentissage profond|Petites astuces|
|
||||
|
||||
#### Rappels VIP
|
||||
|<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>|
|
||||
|:--:|:--:|
|
||||
|Probabilités and Statistiques|Algèbre et Analyse|
|
||||
|
||||
|
||||
#### Super Pense-bête VIP
|
||||
|<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>|
|
||||
|:--:|
|
||||
|Tous les concepts rassemblés à un seul endroit|
|
||||
|
||||
## Site
|
||||
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.
|
||||
|
||||
## Auteurs
|
||||
[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) et [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
|
||||
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|
||||
MIT License
|
||||
|
||||
Copyright (c) 2018 Afshine Amidi and Shervine Amidi
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
@@ -0,0 +1,24 @@
|
||||
# Dicas de Machine Learning (CS 229 Stanford)
|
||||
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)
|
||||
|
||||
## Conteúdo
|
||||
#### Dicas VIP
|
||||
|<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>|
|
||||
|:--:|:--:|:--:|:--:|
|
||||
|Aprendizado supervisionado|Aprendizado não supervisionado|Aprendizado profundo|Dicas e truques|
|
||||
|
||||
#### Revisão VIP
|
||||
|<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>|
|
||||
|:--:|:--:|
|
||||
|Probabilidades e estatística|Álgebra e cálculo|
|
||||
|
||||
#### Super dica VIP
|
||||
|<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>|
|
||||
|:--:|
|
||||
|Tudo|
|
||||
|
||||
## Autores
|
||||
[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) e [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
|
||||
|
||||
## Tradutores
|
||||
Gabriel Fonseca, Leticia Portella, Fernando Santos, Flavio Clesio, Tiago Danin
|
||||
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|
||||
MIT License
|
||||
|
||||
Copyright (c) 2019 Afshine Amidi and Shervine Amidi
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
@@ -0,0 +1,27 @@
|
||||
# Makine Öğrenimi El Kitabı (Stanford CS 229)
|
||||
|
||||
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)
|
||||
|
||||
## Içindekiler
|
||||
#### El Kitabı VIP
|
||||
|<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>|
|
||||
|:--:|:--:|:--:|:--:|
|
||||
|Gözetimli Öğrenme|Gözetimsiz Öğrenme|Derin Öğrenme|Ipuçları ve püf noktaları|
|
||||
|
||||
#### Hatırlatma VIP
|
||||
|<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>|
|
||||
|:--:|:--:|
|
||||
|Olasılık ve İstatistik|Doğrusal Cebir ve Kalkülüs|
|
||||
|
||||
|
||||
#### El Kitabı Super VIP
|
||||
|<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>|
|
||||
|---|
|
||||
|
||||
|
||||
## Yazarlar
|
||||
[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) ve [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
|
||||
|
||||
|
||||
## Tercümanlar
|
||||
Başak Buluz, Ayyüce Kızrak, Yavuz Kömeçoğlu, Ekrem Çetinkaya, Omer Bukte, Seray Beşer ve Kadir Tekeli
|
||||
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|
||||
MIT License
|
||||
|
||||
Copyright (c) 2018 Afshine Amidi and Shervine Amidi
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
@@ -0,0 +1,27 @@
|
||||
# Học máy cheatsheets (Stanford CS 229)
|
||||
|
||||
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)
|
||||
|
||||
## Nội dung
|
||||
#### VIP cheatsheets
|
||||
|<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>|
|
||||
|:--:|:--:|:--:|:--:|
|
||||
|Học có giám sát|Học không giám sát|Học sâu|Các mẹo và thủ thuật|
|
||||
|
||||
#### VIP refreshers
|
||||
|<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>|
|
||||
|:--:|:--:|
|
||||
|Xác suất và Thống kê cơ bản|Đại số tuyến tính và Giải tích cơ bản|
|
||||
|
||||
|
||||
#### Super VIP cheatsheet
|
||||
|<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>|
|
||||
|---|
|
||||
|
||||
|
||||
## Các tác giả
|
||||
[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)
|
||||
|
||||
|
||||
## Dịch thuật
|
||||
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
|
||||
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|
||||
MIT License
|
||||
|
||||
Copyright (c) 2018 Afshine Amidi and Shervine Amidi
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
@@ -0,0 +1,19 @@
|
||||
# 機器學習 (CS 229 Stanford)
|
||||
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**
|
||||
|
||||
## 內容
|
||||
#### VIP Cheatsheets
|
||||
|<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>|
|
||||
|:--:|:--:|:--:|:--:|
|
||||
|監督學習|無監督學習|深度學習|機器學習技巧和秘訣|
|
||||
|
||||
#### VIP Refreshers
|
||||
|<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>|
|
||||
|:--:|:--:|
|
||||
|概率和統計|線性代數和微積分|
|
||||
|
||||
## 作者
|
||||
[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) 和 [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)
|
||||
|
||||
## 譯者
|
||||
kevingo, TobyOoO, kentropy, 詹志傑, imironhead, 徐承漢 和 Miyaya
|
||||
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@@ -0,0 +1,21 @@
|
||||
MIT License
|
||||
|
||||
Copyright (c) 2018 Afshine Amidi and Shervine Amidi
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
@@ -0,0 +1,19 @@
|
||||
# 机器学习 (CS 229 Stanford)
|
||||
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)
|
||||
|
||||
## 内容
|
||||
#### VIP Cheatsheets
|
||||
|<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>|
|
||||
|:--:|:--:|:--:|:--:|
|
||||
|监督学习|无监督学习|深度学习|机器学习技巧和秘诀|
|
||||
|
||||
#### VIP Refreshers
|
||||
|<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>|
|
||||
|:--:|:--:|
|
||||
|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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Reference in New Issue
Block a user