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A Curated List of AI and Machine Learning Resources from Around the Web
- Xeoncross 9y agoI'm glad to see mathematics guides, social leaders, and research papers included in this list. It's one thing to google "nlp tutorial" but another to know who to follow and even where to find more advanced content.
- deepnotderp 9y agoDon't forget Nando's Deep Learning lecture series! Admittedly it's a little bit math heavy, but don't let that scare you off! Also Hugo Larochelle's course is great for beginners!
- adorable 9y agoI would also recommend a curated newsletter with AI / ML news and resources: http://aiweekly.co http://aiweekly.co
- thedatamonger 9y agogood stuff. thanks for sharing!
- zwarag 9y agoA GitHub version of this list would be cool. I'm sure there are lots of people who do not have a medium account but do have a GH account.
- RobbieStats 9y agoI'm curious. Why does it matter if you have a Medium vs a Github account?
- gkrypt 9y agoTo contribute.
- RobbieStats 9y agoJust leave a comment here :)
- astrostl 9y agoStarring.
- xtiansimon 9y agoI'm a neophyte to ML, but one course I very much enjoyed auditing was "Learning from Data" [1] taught by Caltech Professor Yaser Abu-Mostafa. I found concept of the _Learning Model_ particularly fresh representation of the ML activity (starting at 14:39 in the first video linked here [2]) [1]: http://work.caltech.edu/telecourse.html http://work.caltech.edu/telecourse.html [2]: https://youtu.be/mbyG85GZ0PI?t=14m39s https://youtu.be/mbyG85GZ0PI?t=14m39s
- krosaen 9y agoThanks for putting this together. I recommend you check out https://sebastianraschka.com/ https://sebastianraschka.com/ the author of Python Machine Learning. He's great at explaining things, wrote the bets intro to ML book IMHO and is a good Twitter follow. I also humbly submit my own guide, from the perspective of how to approach studying it amidst all the resources available: http://karlrosaen.com/ml/ http://karlrosaen.com/ml/