Logistic regression (Part 2): Finding solution
Logistic regression (https://en.wikipedia.org/wiki/Logisti...) is perhaps the most well known classification algorithm. This is a follow-up to my previous video where I show how to solve it using the maximum likelihood estimation. Understanding logistic regression is crucial for studying deep neural networks and machine learning in general.
⏱️TIMESTAMPS
0:00 - Logistic regression recap
0:45 - Cost function
1:30 - Gradient descent
2:29 - Maximum likelihood estimation
5:25 - Convex function optimization
Mathematical derivation of the cost function:
https://github.com/AlgoNeural/logisti...
Source code for generating the animations:
https://github.com/AlgoNeural/logisti...
Credits:
2D were made using the manim library: https://docs.manim.community/en/stable/
3D animations were made in Blender:
https://www.blender.org/
Money image source: https://openclipart.org/detail/320398...
"Wad of Cash - US Dollars" by "j4p4n"
The exam example is taken from the Wikipedia page about logistic regression: https://en.wikipedia.org/wiki/Logisti...