For the next 1-2 months, I've decided that I'm going to focus on the theory, math, and research papers behind Machine Learning. It's something that I've wanted to avoid at the beginning but now I think that I'm fully ready to learn everything.
I started this month by learning linear algebra. Khanacademy's 200 video playlist (seriously, I actually didn't even think that Sal Khan would make that many video's! The whole world really is grateful for him) and Grant Sanderson's (aka 3blue1brown) linear algebra playlist is what were my go-to's. Although I wasn't able to get through the 200 video's on khanacademy, these 2 resources really helped me out and I learned a lot about linear algebra from computing things like reduced row echelon form to eigenvectors!
Part 2 of my month was deepdiving into research papers. I wanted to focus on reading research papers and understand them. I went through Lex Fridman's research papers (really, really admirable! Check out the one on Arguing Machines, it's really dope 😎) and they've really sparked my interest in semi-autonomous and autonomous driving. But, like with any other research paper, I couldn't overcome a math obstacle.
I decided to spend some time to go back to the math and figure it out. That's when I decided that there was a lot of theory that I was missing. I knew the logic behind algorithms, not the math. If I wanted to really understand ML, I need to understand the math behind these algorithms.
That's exactly where I stumbled upon Andriy Burkov and his 100-page Machine Learning book upon Liam Hinzman's recommendation (thx a bunch Liam!💖) and it's an absolute goldmine 🥇. Although there are some parts of math I can't understand, I was able to figure it out. Andriy writes the book in such a way that a kid like me who just finished grade 9 math can understand it. His explanation of derivatives and gradients is pure gold. He's the real definition of a Machine Learning expert: someone who can explain something in a digestible manner to even people like me.
I'm currently going through the book right now (not done yet! making sure that I understand it properly) and am planning to finish it later next month.