Welcome to Machine Learning Notes

Welcome to Machine Learning NotesΒΆ

This is a yet another book that contains machine learning notebooks. It tries to provide you with some of the most intutive ways to understand machine learning. This book follows few popular books on machine learning:

  1. Theod & Koutroumbas (2009) Pattern recognition, Elsevier (4th ed.).

  2. Mitchell (1997) Machine Learning, McGraw Hill.

  3. Hastie, Tibshirani & Friedman (2001) The elements of statistical learning. Springer.

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