A Curated List of AI and Machine Learning Resources from Around the Web(unsupervisedmethods.com)
unsupervisedmethods.com
A Curated List of AI and Machine Learning Resources from Around the Web
https://unsupervisedmethods.com/my-curated-list-of-ai-and-machine-learning-resources-from-around-the-web-9a97823b8524
11 comments
I'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.
Don'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!
Also Hugo Larochelle's course is great for beginners!
A 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.
I'm curious. Why does it matter if you have a Medium vs a Github account?
Starring.
I'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 [2]: https://youtu.be/mbyG85GZ0PI?t=14m39s
[1]: http://work.caltech.edu/telecourse.html [2]: https://youtu.be/mbyG85GZ0PI?t=14m39s
Thanks for putting this together. I recommend you check out
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/
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/
I would also recommend a curated newsletter with AI / ML news and resources:
http://aiweekly.co
http://aiweekly.co
good stuff. thanks for sharing!