悉尼科技大学的徐亦达老师讲的 Dirichlet Process（以及中餐馆过程），大约两小时
https://www.youtube.com/playlist?list=PLFze15KrfxbFoPpqWQXV0MfrT2TT-53pV
https://www.youtube.com/playlist?list=PLFze15KrfxbFoPpqWQXV0MfrT2TT-53pV
YouTube
Dirichlet Process - YouTube
Variational Inference: Foundations and Modern Methods
by David Blei · Shakir Mohamed · Rajesh Ranganath
是去年 NIPS 2016 的一个 tutorial
https://media.nips.cc/Conferences/2016/Slides/6199-Slides.pdf
对应2小时视频
https://channel9.msdn.com/Events/Neural-Information-Processing-Systems-Conference/Neural-Information-Processing-Systems-Conference-NIPS-2016/Variational-Inference-Foundations-and-Modern-Methods
by David Blei · Shakir Mohamed · Rajesh Ranganath
是去年 NIPS 2016 的一个 tutorial
https://media.nips.cc/Conferences/2016/Slides/6199-Slides.pdf
对应2小时视频
https://channel9.msdn.com/Events/Neural-Information-Processing-Systems-Conference/Neural-Information-Processing-Systems-Conference-NIPS-2016/Variational-Inference-Foundations-and-Modern-Methods
Channel 9
Variational Inference: Foundations and Modern Methods
One of the core problems of modern statistics and machine learning is to approximate difficult-to-compute probability distributions. This problem is especially important in probabilistic modeling, whi
有热心的小伙伴把频道的往期内容都做成 HTML 页面了，苦于检索困难的朋友们可以收藏。
https://www.notion.so/NLP-for-Work-af812710c3a543c2adc7acbdb3990036
由于 notion 没有提供 API 所以不能实时更新，但终归解决了一个归档和查找难题。
https://www.notion.so/NLP-for-Work-af812710c3a543c2adc7acbdb3990036
由于 notion 没有提供 API 所以不能实时更新，但终归解决了一个归档和查找难题。
http://incompleteideas.net/sutton/book/bookdraft2017nov5.pdf
Sutton 的强化学习教科书第二版草稿已经完成
Sutton 的强化学习教科书第二版草稿已经完成
Forwarded from Ning Bei | 你群双拼差不多不是文盲
比Jason Brownlee的版本多了那么一点点数学和扯淡 但是总体难度不高
Forwarded from Haruki Kirikawa
GitHub
GitHub - ray-project/ray: Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for…
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. - ray-project/ray
Forwarded from Googol Lee
顺便，我自己弄了一个 https://t.me/AirOnG ，推荐一些技术和架构方面的blog，欢迎订阅
Inverse Reinforcement Learning pt. I
https://thinkingwires.com/posts/2018-02-13-irl-tutorial-1.html
A neat introduction for Inverse RL
https://thinkingwires.com/posts/2018-02-13-irl-tutorial-1.html
A neat introduction for Inverse RL
https://optimaltransport.github.io/book/
讲述最优传输理论的一本小书
https://arxiv.org/pdf/1803.00567.pdf
This short book reviews OT with a bias toward numerical methods and their applications in data sciences, and sheds lights on the theoretical properties of OT that make it particularly useful for some of these applications.
讲述最优传输理论的一本小书
https://arxiv.org/pdf/1803.00567.pdf
This short book reviews OT with a bias toward numerical methods and their applications in data sciences, and sheds lights on the theoretical properties of OT that make it particularly useful for some of these applications.