Course Home | Syllabus | Assignments | Schedule | Notes | Downloads | [print]

CS 4320: Machine Learning

Spring 2019 Schedule

Day Topic Reading Work Due
Jan 7
W01 Introduction to Machine Learning Chapter 1
W01 Loading and Visualizing Data Chapter 2
W01 Pre-processing Data Chapter 2
W01 Training Models Chapter 2
W01 Tuning Models Chapter 2
W01 Evaluating Models Chapter 2
W01 Deploying Models Chapter 2
W01 Assignment 1
Jan 14
W02 Cross-Validation Chapter 2
W02 Assignment 2
H Jan. 21 Martin Luther King Jr. Day (no classes)
W03 Classification Chapter 3
W03 Performance Measures/Confusion Matrix Chapter 3
W03 Error Analysis Chapter 3
W03 Assignment 3
Jan 28
W04 Linear Regression Chapter 4
W04 Gradient Descent Chapter 4
W04 Learning Curves Chapter 4
W04 Regularization Chapter 4
W04 Logistic Regression Chapter 4
W04 Assignment 4
Feb 4
W05 Support Vector Machines Chapter 5
W05 Linear SVM Classification Chapter 5
W05 Nonlinear SVM Classification Chapter 5
W05 SVM Regression Chapter 5
W05 Assignment 5
Feb 11
W06 Decision Trees Chapter 6
W06 CART Chapter 6
W06 Gini and Entropy Chapter 6
W06 ID3/C4.5 Papers
W06 Assignment 6
H Feb. 18 President’s Day (no classes)
W07 Midterm Examination Midterm Examination
W07 Ensembles Chapter 7
W07 Forests Chapter 7
W07 Boosting Chapter 7
Feb 25
W08 Dimensionality Reduction Chapter 8
W08 Principle Component Analysis Chapter 8
W08 Assignment 7
Mar 4
W09
W09
W09
W09 Assignment 8
H Mar 11-15 Spring Break (no classes)
Mar 18
W10
W10
W10
W10 Assignment 9
Mar 25
W11
W11
W11
W11 Assignment 10
Apr 1
W12
W12
W12
W12 Assignemnt 11
Apr 8
W13
W13
W13
W13 Assignment 12
Apr 15
W14
W14
W14
W14 Assignment 13
Apr 22
W15
W15
W15
W15
Apr 24 Last Day of Classes
Apr 25 Reading Day (no classes)
Apr 26-May 2 Final Exams
W May 1 Final Exam 09:00 am - 10:50 am Final Exam

Class announcements may modify schedule from that listed above.

W01 | | | W02 | Supervised Learning | |

Last Updated 12/21/2018