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Here is what I'd do if I wanted to start learning Machine Learning today.

169,635 次观看 • 1 年前 •via X (Twitter)

10 条评论

Santiago 的头像
Santiago1 年前

I usually upload my videos here 4 - 5 weeks after publishing them in YouTube. No reason in particular other than I'm trying to grow my YouTube audience. Here is my channel:

simpaticode 的头像
simpaticode1 年前

1. Udacity/Int. Python 2. Kaggle Tutorials/Intro to & Int. ML 3. Google ML crash course. 4. Coursera/ML Specialization (not free). 5. MIT 6.S191, NYU Deep Learning, Cornell ML Cert 6. Oreilly Hands-on ML, Manning Deep Learning w/ Python (TF), ML with PyTorch, Gen AI w/LangChain

Leonardo 的头像
Leonardo1 年前

Excellent recommendations! I would like to add that the "Machine Learning in Python with Scikit-Learn" course from FUN MOOC platform, is a great free resource.

ThreeFold 🗯 的头像
ThreeFold 🗯1 年前

This is really great advice. Thanks for posting. 💪

Sanjay Singh 的头像
Sanjay Singh1 年前

Excellent recommendations. Largely overlaps with what I’ve done to educate myself. Just a thought. It seems the Stanford Specialisation has moved from MATLAB/OCTAVE to Python? I felt there was a clearer view of the mathematics working behind optimisations when I used MATLAB.

PrivateClient🟢AI 的头像
PrivateClient🟢AI1 年前

💯

💚AOS💚 的头像
💚AOS💚1 年前

Awesome 👌

Salvador Alonso 的头像
Salvador Alonso1 年前

Thanks

Lord Satoshi 的头像
Lord Satoshi1 年前

Thanks for sharing 🙏

Richard Askew 的头像
Richard Askew1 年前

Any thoughts on Claude Artifacts?

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