ml_2023

ml_2023,
a prospective course in machine learning,
Instructor: Professor Catalin Trenchea,
Lab instructor: John Burkardt,
University of Pittsburgh, Fall 2023.

Dates	Lecture	Lab
Week 1	Introduction to Machine Learning	MISSING INTRO Lab
Week 2	Data, and how to get it	Data Processing: Readin’, Ritin’, and Rithmetic
Week 3	MISSING Probability lecture	Estimating a Probability Density Function
Week 4	Cluster patterns in data	Variance and Kmeans
Week 5	Linear Algebra	MISSING ALGEBRA Lab
Week 6	The PageRank algorithm	The PageRank algorithm
Week 7	Linear models of data	Linear models of data
Week 8	Optimization by gradient descent	Optimization by gradient descent
Week 9	The singular value decomposition	MISSING lab notes
Week 10	Principal component analysis	MISSING PCA lab
Week 11	Logistic regression	Logistic regression
Week 12	Support vector machines	Support vector machines

• Datasets