Machine Learning Crash Course (Basics)

These notes are a part of a basic and quick conceptual recap of concept of Machine Learning. It is often tested during interviews

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..)
  • 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

Machine learning crash course(basics)
Machine learning crash course(basics)
Machine learning crash course(basics)

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