ML course notes, solutions, resources
- https://spin.atomicobject.com/2014/06/24/gradient-descent-linear-regression/
- http://blog.hackerearth.com/gradient-descent-algorithm-linear-regression
- https://github.com/mattnedrich/GradientDescentExample
- https://github.com/llSourcell/Intro_to_the_Math_of_intelligence
- Gradient descent Algorithm implementation in python: https://www.youtube.com/watch?v=XdM6ER7zTLk&t=1650s
- numpy - matrix multiplication library
- Hyperparameters in ML - are tuning knobs for the model. They are guessed by trial and error. Eg: learning rate.