AIRX · 2020年05月12日

精选的AI和机器学习资源清单

本部分资源内容主要是国外的一些AI学习与开发内容,包括AI组织,视频课程,博客,书籍,YouTube频道,Quora,Github,书籍推荐,会议,研究链接,教程等。

以下内容由公众号:AIRX社区(国内领先的AI、AR、VR技术学习与交流平台) 整理
首发平台:AIRX社区

组织机构

有一些著名的组织致力于推动AI研究与开发。

1、OpenAI

https://openai.com/

2、DeepMind

https://deepmind.com/

3、Google Research

https://research.googleblog.com/

4、AWS AI

https://aws.amazon.com/blogs/ai/

5、微软研究院

https://www.microsoft.com/en-...

6、Facebook AI研究

https://research.fb.com/categ...

7、百度研究

http://research.baidu.com/

8、IntelAI

https://software.intel.com/en...

9、AI²

http://allenai.org/

10、AI

https://www.partnershiponai.org/

视频课程

现在网上有大量的视频课程和教程,其中很多都是免费的,也有一些不错的付费选择,但在本文中,我只列举一些免费内容。

1、Coursera-机器学习

https://www.coursera.org/lear...

2、Coursera —机器学习的神经网络

https://www.coursera.org/lear...

3、Udacity —机器学习入门

https://classroom.udacity.com...

4、Udacity —机器学习

https://www.udacity.com/cours...

5、Udacity —深度学习

https://www.udacity.com/cours...

6、机器学习

https://www.youtube.com/playl...

7、面向程序员的实用深度学习

http://course.fast.ai/start.html

8、Stanford—用于视觉识别的卷积神经网络

https://www.youtube.com/watch...

9、Stanford—具有深度学习的自然语言处理

https://www.youtube.com/playl...

10、牛津大学深层自然语言处理课程

https://github.com/oxford-cs-...

11、Python实用机器学习教程

https://www.youtube.com/watch...

Youtube精选

下面提供了一些YouTube频道或用户的链接,这些频道或用户具有与AI或机器学习相关的常规内容。

1、sentdex (225K subscribers, 21M views)

https://www.youtube.com/user/...

2、Siraj Raval (140K subscribers, 5M views)

https://www.youtube.com/chann...

3、Two Minute Papers (60K subscribers, 3.3M views)

https://www.youtube.com/user/...

4、DeepLearning.TV (42K subscribers, 1.7M views)

https://www.youtube.com/chann...

5、Data School (37K subscribers, 1.8M views)

https://www.youtube.com/user/...

6、Machine Learning Recipes with Josh Gordon (324K views)

https://www.youtube.com/playl...

7、Artificial Intelligence — Topic (10K subscribers)

https://www.youtube.com/chann...

8、Allen Institute for Artificial Intelligence (AI2) (1.6K subscribers, 69K views)

https://www.youtube.com/chann...

9、Machine Learning at Berkeley (634 subscribers, 48K views)

https://www.youtube.com/chann...

10、Understanding Machine Learning — Shai Ben-David (973 subscribers, 43K views)

https://www.youtube.com/chann...

11、Machine Learning TV (455 subscribers, 11K views)

https://www.youtube.com/chann...

博客专栏

下面我主要列了些那些持续发布与人工智能相关主题的原创博客。

1、Andrej Karpathy

http://karpathy.github.io/

2、i am trask

http://iamtrask.github.io/

3、Christopher Olah

http://colah.github.io/

4、Top Bots

http://www.topbots.com/

5、WildML

http://www.wildml.com/

6、Distill

http://distill.pub/

7、Machine Learning Mastery

http://machinelearningmastery...

8、FastML

http://fastml.com/

9、Adventures in NI

https://joanna-bryson.blogspo...

10、Sebastian Ruder

http://sebastianruder.com/

11、Unsupervised Methods

http://unsupervisedmethods.com/

12、Explosion

https://explosion.ai/blog/

13、Tim Dettmers

http://timdettmers.com/

14、When trees fall…

http://blog.wtf.sg/

15、ML@B

https://ml.berkeley.edu/blog/

Github

AI社区的好处之一是,大多数新项目都是开源的,可以在Github上使用。在Github上也有很多教育资源。

1、Machine Learning

https://github.com/search?o=d...

2、Deep Learning

https://github.com/search?q=t...

3、Tensorflow

https://github.com/search?q=t...

4、Neural Network

https://github.com/search?q=t...

5、NLP

https://github.com/search?utf...

书籍推荐

市面上有很多关于机器学习、深度学习和NLP的书籍。在这一节中,我将只关注那些你可以直接从网上获取或下载的免费书籍。

机器学习部分

1、Understanding Machine Learning From Theory to Algorithms

http://www.cs.huji.ac.il/~sha...

2、Machine Learning Yearning

http://www.mlyearning.org/

3、A Course in Machine Learning

http://ciml.info/

4、Machine Learning

https://www.intechopen.com/bo...

5、Neural Networks and Deep Learning

http://neuralnetworksanddeepl...

6、Deep Learning Book

http://www.deeplearningbook.org/

7、Reinforcement Learning: An Introduction

http://incompleteideas.net/su...

8、Reinforcement Learning

https://www.intechopen.com/bo...

NLP部分

1、Speech and Language Processing

https://web.stanford.edu/~jur...

2、Natural Language Processing with Python

http://www.nltk.org/book/

3、An Introduction to Information Retrieval

https://nlp.stanford.edu/IR-b...

数学基础部分

1、Introduction to Statistical Thought

http://people.math.umass.edu/...

2、Introduction to Bayesian Statistics

https://www.stat.auckland.ac....

3、Introduction to Probability

https://www.dartmouth.edu/~ch...

4、Think Stats: Probability and Statistics for Python programmers

http://greenteapress.com/wp/t...

5、The Probability and Statistics Cookbook

http://statistics.zone/

6、Linear Algebra

http://joshua.smcvt.edu/linea...

7、Linear Algebra Done Wrong

http://www.math.brown.edu/~tr...

8、Linear Algebra, Theory And Applications

https://math.byu.edu/~klkuttl...

9、Mathematics for Computer Science

https://courses.csail.mit.edu...

10、Calculus

https://ocw.mit.edu/ans7870/r...

11、Calculus I for Computer Science and Statistics Students

http://www.math.lmu.de/~phili...

Quora

Quora已经成为人工智能和机器学习的重要资源。许多顶尖的研究人员在网站上回答问题。下面我列出了一些主要的人工智能相关主题:

1、Computer-Science

https://www.quora.com/topic/C...

2、Machine-Learning

https://www.quora.com/topic/M...

3、Artificial-Intelligence

https://www.quora.com/topic/A...

4、Deep-Learning

https://www.quora.com/topic/D...

5、Natural-Language-Processing

https://www.quora.com/topic/N...

6、Classification-machine-learning

https://www.quora.com/topic/C...

7、Artificial-General-Intelligence

https://www.quora.com/topic/A...

8、Convolutional-Neural-Networks-CNNs

https://www.quora.com/topic/C...

9、Computational-Linguistics

https://www.quora.com/topic/C...

10、Recurrent-Neural-Networks

https://www.quora.com/topic/R...

会议

不出所料,随着人工智能的普及,与人工智能相关的会议数量也在增加。

学术

1、NIPS

https://nips.cc/

2、ICML

https://2017.icml.cc/

3、KDD

http://www.kdd.org/

4、ICLR

http://www.iclr.cc/

5、ACL

http://acl2017.org/

6、EMNLP

http://emnlp2017.net/

7、CVPR

http://cvpr2017.thecvf.com/

8、ICCF

http://iccv2017.thecvf.com/

专业

1、O’Reilly Artificial Intelligence Conference

https://conferences.oreilly.c...

2、Machine Learning Conference

http://mlconf.com/

3、AI Expo

https://www.ai-expo.net/

4、AI Summit

https://theaisummit.com/

5、AI Conference

https://aiconference.ticketle...

关于更多机器学习、CV、AR、VR资源和技术干货,可以关注公众号:AIRX社区,共同学习,一起进步!
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