Introduction to Machine Learning

  • Abhijit GhatakEmail author


This chapter will introduce some of the building blocks of machine learning. Specifically, it will touch upon
  • Difference between machine learning, statistics and deep learning.

  • A discussion on bias and variance and how they are related to underfitting and overfitting.

  • Different ways to address underfitting and overfitting, including regularization.

  • The need for optimization and the gradient descent method.

  • Model hyperparameters and different hyperparameters search methods.

  • Quantifying and measuring loss functions of a model.

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.KolkataIndia

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