Introduction to Machine Learning

10-315, Spring 2019

Carnegie Mellon University

Maria-Florina Balcan




Date Lecture Handouts
1/17 Python

1/24 Python, HW0

1/31 Decision Trees, Linear Separators

2/7 Naive Bayes
slides
2/14 Logistic Regression, Gradient Descent
slides
2/21 Gradient Descent, Kernels
slides
3/21 VC Dimension
slides
3/29 Intro to DL
slides
4/5 NN Optimization
slides