u/Far_Extreme_9737

All fundamental knowledge in ML Course by Andrew NG that I noted and create into a repo github [R]

All fundamental knowledge in ML Course by Andrew NG that I noted and create into a repo github [R]

https://preview.redd.it/mikhasjiq32h1.png?width=572&format=png&auto=webp&s=4c053200dbd9852bebf083550e2144b31579d497

https://preview.redd.it/bay5r3njq32h1.png?width=575&format=png&auto=webp&s=2823db3d6bc534ef00330528a200cba2aca1c5d3

https://preview.redd.it/dm40ntdkq32h1.png?width=575&format=png&auto=webp&s=703beb099eb6e16d2789ac230ebe77de51f07d7a

https://preview.redd.it/eubucz2lq32h1.png?width=575&format=png&auto=webp&s=fb5a8d9a7154396087da33487674cda785d2a62a

https://preview.redd.it/0xo3t83nq32h1.png?width=586&format=png&auto=webp&s=a569ae89c44953a5bc9aff6fbb37d25759109dd1

I've just finished the Machine Learning Specialization by Andrew Ng , and as I was going through it, I ended up writing detailed lecture notes for all 10 chapters — everything from linear regression all the way to reinforcement learning.

I put a lot of effort into making these notes as clear and friendly as possible, so even if you're completely new to ML, you should be able to follow along without getting lost.

The notes are written in LaTeX and auto-compiled to PDF via GitHub Actions whenever I push an update, so the PDF is always up to date.

🔗 GitHub: https://github.com/TruongDat05/machine-learning-notes-and-code

reddit.com
u/Far_Extreme_9737 — 17 hours ago

I create a repo github to summarize all fundamental knowledge in ML Course by Andrew NG

I'm a university student who just finished the Machine Learning Specialization by Andrew Ng on Coursera, and as I was going through it, I ended up writing detailed lecture notes for all 10 chapters — everything from linear regression all the way to reinforcement learning.

I put a lot of effort into making these notes as clear and beginner-friendly as possible, so even if you're completely new to ML, you should be able to follow along without getting lost.

The notes are written in LaTeX and auto-compiled to PDF via GitHub Actions whenever I push an update, so the PDF is always up to date.

🔗 GitHub: https://github.com/TruongDat05/machine-learning-notes-and-code

u/Far_Extreme_9737 — 13 days ago

Hey r/learnmachinelearning!

I'm a university student who just finished the Machine Learning Specialization by Andrew Ng on Coursera, and as I was going through it, I ended up writing detailed lecture notes for all 10 chapters — everything from linear regression all the way to reinforcement learning.

I put a lot of effort into making these notes as clear and beginner-friendly as possible, so even if you're completely new to ML, you should be able to follow along without getting lost.

The notes are written in LaTeX and auto-compiled to PDF via GitHub Actions whenever I push an update, so the PDF is always up to date.

🔗 GitHub: https://github.com/TruongDat05/machine-learning-notes-and-code

I hope this helps anyone who's currently taking the course or looking to revisit the fundamentals. Feel free to open an issue or PR if you spot any errors!

Happy learning 🎯

https://preview.redd.it/r32i1elmeozg1.png?width=1214&format=png&auto=webp&s=27342fbefd1f9d34fdc6e7243b24275e624d3047

https://preview.redd.it/k7xhhvvqeozg1.png?width=636&format=png&auto=webp&s=0336032e86ab144077c9c9d8bc366a70741c736a

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https://preview.redd.it/64l1825teozg1.png?width=636&format=png&auto=webp&s=5fe28c4652207bfd2a826480dcffe64deef71a24

https://preview.redd.it/ogmt6xyteozg1.png?width=636&format=png&auto=webp&s=14436150212aec06da39f17af8276967b6698044

https://preview.redd.it/ht7364tueozg1.png?width=636&format=png&auto=webp&s=75918d44d9df37e89c14d5ec2a736dad02226aa9

reddit.com
u/Far_Extreme_9737 — 13 days ago