5️⃣ Mathematics for Machine Learning resources you must check! ✅

🧵 👇

1️⃣ StatQuest:

BAM!!

Joshua Stammer's fun take on teaching Stats & Mathematics for ML to masses is an absolute gold mine 🥇

Check this out 👇

https://t.co/4PrkGdJ5SH
2️⃣ Statistics, Khan Academy:

Taught by Sal Khan himself ✨

It's a top-top place to learn Prob/Stats 👍

💫 I still refer it ✅

Check this out 👇

https://t.co/BkGP6UC8eM
3️⃣ MIT OCW: Mathematics for ML

The course offers a comprehensive overview of mathematics for big data and ML.

It comes with lecture notes and exercises from MIT.

Check out the playlist 👇

https://t.co/af1leuKcji
4️⃣ Linear Algebra by Gilbert Strang:

Taught by the pioneer himself, Prof. Gilbert Strang. ✨

There isn't a better place to learn Algebra in the entire world. 👊

Check this out 👇

https://t.co/KU5cxND0qQ
5️⃣ Mathematics for Machine Learning:

Taught by Imperial College London, it's a wisely curated course.

Covers Statistics, Algebra & Calculus.

Check this out 👇

https://t.co/FQAhj2QwyO
That's all for today!
Hope you enjoyed reading!! 📖

I’m from India 🇮🇳
Trying to simplify python, maths and machine learning for you.

follow → @akshay_pachaar

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