Introduction to Machine Learning Lecture notes

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CSE176 Introduction to Machine Learning Lecture notes Miguel A . Carreira-Perpin a n EECS, University of California, Merced November 28, 2016. These are notes for a one-semester undergraduate course on Machine Learning given by Prof. Miguel A . Carreira-Perpin a n at the University of California, Merced. The notes are largely based on the book Introduction to Machine Learning by Ethem Alpayd n (MIT Press, 3rd ed., 2014), with some additions. These notes may be used for educational, non-commercial purposes. c 2015 2016 Miguel A . Carreira-Perpin a n 1 Introduction What is Machine Learning (ML)? Data is being produced and stored continuously ( big data ): science: genomics, astronomy, materials science, particle accelerators. . . sensor networks: weather measurements, traffic.

These are notes for a one-semester undergraduate course on machine learning given by Prof. Miguel A. Carreira-Perpin˜´an at the University of California, Merced. T´ he notes are largely based on the book “Introduction to machine learning” by Ethem Alpaydın (MIT Press, 3rd ed., 2014), with some additions.

  Notes