Hi all! Almost 1 year ago @zmarkan posted his favorite resources for learning about AI, ML, and general data science. (You can check them out here.)
Let's get that list updated for 2022.
Please share your ideas with other Community members. And maybe you'll get some cool new resources in return.
Thanks!
- Linda
In no particular order:
I second IraWatt's choice on DataRobot University. However, as far as resources are concerned, I am such an avid advocate for using Google. This is to say that my resource is not a specific website per se, but the culmination of efforts submitted by countless people from all levels.
Yes, there is no typo & this isn't to be cliche XD. The amount of perspectives on Google, is enough to get someone to understand nuclear physics from scratch given the willigness to read through them.
Though I have consistently come across some people/websites that I feel have some content worth coming back to some of which are:
- machinelearningmastery (Website)
- KDNuggets (Website)
- Cassie Kozyrkov (Person - Godly ability to simplify complex concepts)
- Lex Fridman (Person - Great courses on the basics of ML & DL)
Hey nice to see you here @DREnthusiast !
Thanks for chiming in with your resources. Also, I'm definitely going to check out Cassie Kozyrkov and Lex Fridman since they seem like they'd be helpful to pre-beginner/pre-novice me 🙂 Thanks for sharing!
@IraWatt great list!
Also you made a lot of new friends on the hard-working DataRobot University team 🙂 I'm know they're very happy to get (unsolicited!) feedback for their hard work!
Thank you for sharing you resources!
More business value orientated: https://emerj.com/artificial-intelligence-podcast/
For reviewing old topics I like the book Hands On Machine Learning.
For new topics I subscribe to the Data Science Weekly newsletter.
For data science I use the following:
- Udemy
- Coursera
- DataRobot University
For inspiration
- Trendhunter (https://www.trendhunter.com/)
- Institute for the Future (https://www.iftf.org/home/)