Link Search Menu Expand Document
CS 4641

Schedule

Aug 23
Course Introduction
PML Chapter 1
Aug 25
Decision Trees
CIML Chapter 1 (Quinlan, 1986)
Aug 30
Statistical Estimation (Problem Set 1 due)
PML 2.1-2.3
Sep 1
No Class (No Class - Alan is speaking at the University of Notre Dame)
Sep 8
Statistical Estimation (cont.)
PML 4.1-4.2.5
Sep 13
Naive Bayes (Project 1 Due)
CIML 9.1-9.5, PML 2.5.4
Sep 20
Linear Regression
PML 11.1-11.2, CIML 9.6-9.7
Sep 22
Logistic Regression
PML 10.1-10.3 Notes on Naive Bayes and Logistic Regression
Sep 27
Logistic Regression (cont) and Perceptron
CIML Chapter 4
Oct 4
Kernels
CIML Chapter 11
Oct 6
SVMs
CIML Chapter 7
Oct 5
Problem Set 2 Due
Oct 13
Course Project and Boosting
CIML Chapter 13 and PML 18.5
Oct 20
Neural Networks
CIML Chapter 10
Oct 27
Unsupervised Learning / EM Algorithm
CIML Chapter 16 Notes on the EM Algorithm
Oct 29
(Project 2 Due)
Nov 3
CNNs
PML Chapter 14
Nov 8
No Class
Midterm Due
Nov 15
Neural Nets for Sequences
PML Chapter 15
Nov 17
No Class (DARPA site visit)
Nov 30
Project 3 Due
Dec 1
Generative Models
Tutorial on VAEs
Dec 10
Final Project Reports Due (No late days)