ml_2019
machine learning


ml_2019, computer lab exercises for MATH1900, "Topics in Mathematics: Machine Learning", Instructor: Michael Schneier, Lab instructor: John Burkardt, University of Pittsburgh, fall 2019, MWF: 10:00-10:50. Room VICT 0115.

Location: http://people.sc.fsu.edu/~jburkardt/classes/ml_2019/ml_2019.html


This class included both regular lectures, and as a follow-up, classroom lab exercises in which students attempted to carry out tasks related to the lecture material, using Python.

The following lab exercises include some material that was originally developed at the University of South Carolina, under the guidance of Professor Wolfgang Dahmen, in spring 2019.

Most of the material was extensively revised and rewritten for an undergraduate class in machine learning, that was planned and developed at the University of Pittsburgh, in consultation with Professor Michael Schneier, in fall 2019.

Some of this material has since been further developed and modified for a class at the Missouri University of Science and Technology, in consultation with Professor Yanzhi Zhang, in fall of 2020.



Last revised on 10 October 2020.