A practical approach to machine learning.
deep-learning natural-language-processing tensorflow pytorch
Objectives & Highlights

• Allow developers to learn ML with simple math, visual explanations and clean code. • Provide code that goes beyond tutorials with a focus on object-oriented programming and production. • Among top 10 ML repositories of all time on GitHub.

Takeaways & Next Steps

• There's so much content out there for every topic (medium posts, repositories, etc.) that there's a dire need to have one place that presents all the content practically. • Many more lessons to produce, especially more niche topics.

Don't forget to add the tag @GokuMohandas in your comments.

AI Research @apple. Author @oreillymedia. ML Lead @Ciitizen. Alum @hopkinsmedicine and @gatech
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