Handwritten Notes : Machine Learning Basics

These notes are a part of basic and quick conceptual recap of concepts, often tested during interviews.

  • Recap on the core algorithms (Trees, Linear Regression, Random Forest..)
  • Regularisation
  • 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.

Gradient Descent


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