Hello :) Today is Day 89!
A quick summary of today:
- covered Classification, Resampling methods, Tree-based models and Some considerations in high dimensions from An Introduction to Statistical Learning
Besides the below and yesterday’s notes, for not I just read some of the other material of the book. For a while I had the Probabilistic ML: An introduction by Kevin Muprhy on my list (saw it recommended a lot), and it covers
and I am particularly interested in the Foundations part, seeing how the basics are ‘born’. But I will start that tomorrow ^^
So ~ here are my notes from the ISLP book for the 4 chapters covered today:
**Chapter 4: Classification **
Chapter 5: Resampling methods
Chapter 6: Considerations in high dimensions
**Chapter 8: Tree-based methods **
That is all for today!
See you tomorrow :)