These notes are a part of a basic and quick conceptual recap of concepts, often tested during interviews.
- Recap on the core algorithms (Trees, Linear Regression, Random Forest..)
- Data Modelling (Transformations)
- Gradient Descent (Core Engine behind all approaches)
- Real Life: Rules of Thumb
The below pictures cover the Gradient Descent part along with different types and the most popular approach of stochastic gradient descent.