CIS 4190/5190: Applied Machine Learning (Fall 2022)
syllabus      schedule      files      resources


This is a tentative schedule.


week 1

(Wed, 8/31) Lecture 1: Introduction [slides]
(Wed, 8/31) HW 1 Released [written] [coding]


week 2

(Wed, 9/7) Lecture 2: Linear Regression Part 1 [slides]


week 3

(Mon, 9/12) Lecture 3: Linear Regression Part 2 [slides]

(Wed, 9/14) Lecture 4: Linear Regression Part 3 [slides]
(Wed, 9/14) HW 1 Due (8pm), HW 2 Released [written] [coding]

(Thu, 9/15) Quiz 1 Due (8pm)


week 4

(Mon, 9/19) Lecture 5: Logistic Regression Part 1 [slides]

(Wed, 9/21) Lecture 6: Logistic Regression Part 2 [slides] [extra slides]

(Thu, 9/22) Quiz 2 Due (8pm)


week 5

(Mon, 9/26) Lecture 7: K Nearest Neighbors [slides]

(Wed, 9/28) Lecture 8: Decision Trees [slides]

(Thu, 9/29) Quiz 3 Due (8pm)


week 6

(Mon, 10/3) Lecture 9: Ensembles Part 1 [slides]
(Mon, 10/3) HW 2 Due (8pm), HW 3 Released [written] [coding]

(Wed, 10/5) Lecture 10: Ensembles Part 2 [slides]


week 7

(Mon, 10/10) Lecture 11: Neural Networks Part 1 [slides]
(Mon, 10/10) Quiz 4 Due (8pm)

(Wed, 10/12) Lecture 12: Neural Networks Part 2 [slides]
(Wed, 10/12) Project Milestone 1 Due (8pm)

(Thu, 10/13) Quiz 5 Due (8pm)


week 8

(Mon, 10/17) Lecture 13: Computer Vision Part 1 [slides]

(Wed, 10/19) Lecture 14: Computer Vision Part 2 [slides]
(Wed, 10/19) HW 3 Due (8pm), HW 4 Released [written] [coding]

(Thu, 10/20) Quiz 6 Due (8pm)


week 9

(Mon, 10/24) Lecture 15: Computer Vision Part 3 [slides]

(Wed, 10/26) Lecture 16: K Means Clustering [slides]

(Thu, 10/27) Quiz 7 Due (8pm)


week 10

(Mon, 10/31) Lecture 17: Principal Components Analysis [slides]

(Wed, 11/2) Lecture 18: Natural Language Processing Part 1 [slides]
(Wed, 11/2) HW 4 Due (8pm), HW 5 Released [written] [coding]

(Thu, 11/3) Quiz 8 Due (8pm)


week 11

(Mon, 11/7) Lecture 19: Natural Language Processing Part 2 [slides]

(Wed, 11/9) Class Cancelled
(Wed, 11/9) Project Milestone 2 Due (8pm)

(Thu, 11/10) Quiz 9 Due (8pm)


week 12

(Mon, 11/14) Lecture 20: Bayesian Networks [slides]

(Wed, 11/16) Lecture 21: Reinforcement Learning [slides]
(Wed, 11/16) HW 5 Due (8pm), HW 6 Released [written] [coding]

(Thu, 11/17) Quiz 10 Due (8pm)


week 13

(Mon, 11/21) Lecture 22: Recommender Systems [slides]


week 14

(Mon, 11/28) Lecture 23: Multi-Armed Bandits Part 1 [slides]

(Wed, 11/30) Lecture 24: Multi-Armed Bandits Part 2 [slides]

(Thu, 12/1) Quiz 11 Due (8pm)

(Fri, 12/2) HW 6 Due (8pm)


week 15

(Mon, 12/5) Lecture 25: Ethics [slides]

(Wed, 12/7) Lecture 26: Review Part 1 [slides]

(Fri, 12/9) Project Milestone 3 Due (8pm)


week 16

(Mon, 12/12) Lecture 27: Review Part 2 [slides]


finals week

(Thu, 12/22, 6-8pm) Final Exam [practice exam (Fall 2021)]