注意下面很多链接需要访问外国网站,无奈国情如此
1. clustering 5种算法解释
The 5 Clustering Algorithms Data Scientists Need to Know
链接:https://towardsdatascience.com/the-5-clustering-algorithms-data-scientists-need-to-know-a36d136ef68?source=email-e8e240189c7a-1522365900954-digest.weekly------0-49------------------f948bf915883-11§ionName=topic
2. Efficient Neural Architecture Search via Parameter Sharing作者开源代码
链接:https://github.com/melodyguan/enas
3. RL相关
3.1 World models,很用心的工作, model-based RL,用VAE学latent space,然后用RNN做model。因为RNN可以去predict将来,相当于让机器自己在做梦,在梦里学了以后再transfer 到现实世界
World models: can agents learn inside their own dreams?
链接:https://worldmodels.github.io/
3.2. 前向后向RL
Forward-Backward Reinforcement Learning
链接:https://arxiv.org/pdf/1803.10227.pdf
4. 优化理论介绍
A birds-eye view of optimization algorithms
链接:http://fa.bianp.net/teaching/2018/eecs227at/introduction.html
5. scaledML大会演讲视频
链接:https://www.youtube.com/playlist?list=PLxebUzBtXdb2eQYVeTMzFD9mk4rztQgYq
6. 一本可解释性机器学习方法的书
Interpretable Machine Learning
链接:https://christophm.github.io/interpretable-ml-book/
7. NLP做一个问答机器人
NLP — Building a Question Answering model
链接:https://towardsdatascience.com/nlp-building-a-question-answering-model-ed0529a68c54
8. FIFA游戏用DeepFake换脸(之前Reddit上说的X片换女主角脸用的也是这个?)
Using Deep Learning to improve FIFA 18 graphics
链接:https://towardsdatascience.com/using-deep-learning-to-improve-fifa-18-graphics-529ec44ea37e
9. AI生成游戏场景(Minecraft),我一直觉得AI做游戏设计应该蛮有前途的
链接:https://arxiv.org/pdf/1803.09853.pdf
10. 北大AI课2018年又开始了,我觉得今年比去年要好,嘉宾比去年的要给力
链接:https://c.m.163.com/news/l/172288.html?from=special
商汤CEO讲的笑话: "深圳文博会(文学博览会)期间,我们把历届惯犯嫌疑人,重案底嫌疑人放到安防系统里面,抓到了25个重犯。这让我们非常感动!连他们都好好读书,咱们还有什么理由不好好读书?"
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