Okay so the plan is going to be quite simple.
Statquest
I am going to start my essentially watching statquests on Machine Learning. My problem with Machine Learning is that I quit too early before I can actually get into the stuff that interests me and naturally keeps me hookes enough to actuall learn stuff. This used to happen a lot when I was learning to code, so to solve it, the solution was actually quite simple and I am sure most of you might’ve already guessed it: I made it interesting.
Now there can be many ways that ML can be interesting to you, but for me personally, something is only interesting if I can build something cool with it. So eventually I will decide a project to build with it. So till then, the video’s will lay a very good foundation to make sure that I have a basic understanding of Machine Learning before I dive head first into so many topics.
To reiterate both for the user and myself, these statquest videos are only to get the brief concept of something.
The Ml book
So I recently got my hands on the Adaptive Computation and Machine Learning book from MIT. It is very good and it has been sitting in my to read list from a long time. This book would give me good fundamentals that I would need to delve head first into this.
Papers
Now that I have a good foundation of Machine learning, I would need a lot of papers. Over the course of my step 1 and step 2, hopefully I have collected enough papers to make this viable. If not, I would have to ask a guide for some good papers.
I only have this much planned for now, but yeah I am starting this and all of it is going to be documented well here.
Let’s get Started