Click on the top " AI proper way ", select the "star" Public No.
Heavy dry goods, the first time served
AI related resources too much, red stone had also concluded some sort, but the total may not quite complete. Recently, when I visit GitHub and found a very good list of super AI resources, very full. I introduce to you today.
This online resource contains almost all the content on artificial intelligence, covering a variety of AI Issue (100+), free online books, courses, videos and lectures, papers, tutorials, researchers, website, data collection, meeting, frameworks, tools and so on.
First put its GitHub address:
https://github.com/Niraj-Lunavat/Artificial-Intelligence
The authors of the project are from India Niraj Lunavat , specializing in artificial intelligence, machine learning, deep learning, Python.
Here we look at this wonderful place online AI resources.
First, the file containing the whole point of view, a very rich resources include algorithm, big data, data science, deep learning, Excel, Git, AI foundations of mathematics, neural networks, Matlab, Python, and so on. AI basically covers all the relevant information and resources.
1. Issue
The online resource contains 100 + cheat sheet, with the following breakdown:
At Advantage cheat sheet is refined knowledge for easy access. For example, where some of the basic knowledge and concepts of AI summary is very good!
2. Free Online Books
Among them, there is my very favorite a deep learning Getting Started classic "Neural Networks and Deep Learning", the author is Michael Nielsen. The red stone layer Resources issued a document had recommended, see link:
Popular network of "neural networks and deep learning", it was translated into Chinese version!
3. Courses
4. Video and courseware
5. Papers
6. Tutorial
7. Site
8. Data Set
9. Meeting
10. The frame
11. Tools
In addition to 11 described above, there are a lot of content. Each piece of content is very rich. Hoping to help you!
Finally, attach the address of the online resources:
https://github.com/Niraj-Lunavat/Artificial-Intelligence
Recommended Reading
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Heavy! AI proper way academic exchange group established friends
Scanning the next Fanger Wei code, add AI proper way assistant micro-channel , may apply for admission Lin Xuan Tin Machine Learning group (numbers 1 ), Andrew Ng deeplearning.ai study group (figures 2 ). Be sure to remark: into which group (1 or 2 or 1 + 2) + location + school / company + nickname . For example: 1+ Shanghai Fudan + + calf .
Press scan code, the group application
(Higher number of additions, please be patient)
Dry latest AI, I was watching
