Machine Learning Roadmap
(This blog will be updated as required!)
As a kid growing up with the advent of internet, information is very much quite literally at our fingertips. One click away to the next landing page which explains how Clownfishes can practically change genders (yup, think about it while watching Finding Nemo) but I'm not here to list out bizarre marine facts as much as I'd love to in a separate blog (one day) rather here to tell the phenomena i.e the glorious Interconnected Network, a.k.a Internet.
Basically it was the beginning of 2022 and the overwhelming sense of achieving something crept up. That's when I got down the rabbit-hole of Machine Learning, AI and Data Science. I mean, I love learning and simultaneously documenting my journey. I've broken down into topics which I need to cover atleast on a minimum basis.
Personally, with math I'm at an okayish zone. I can grasp concepts but severely lack the confidence in terms of implementation which often hides behind the mask of imposter syndrome. I sincerely hope with this journey I, apart from the learning aspect get to implement the skills successfully. Pretty much why I chose such a math-heavy field at this point.
As you advance 6 months into it, start book references one by one to get a complete in depth view of topics
UPDATE GITHUB AS YOU GO! GOOD LUCK!
and MIT OCW :)
