1
Aug 22

Overview:
What exactly is Machine Learning?
Classification vs.  Regression:
Choosing vs. Scoring/Ranking

Tues Aug 23
First Lecture

* Hastie Ch. 1, 2.1-2.3
* Review #ml-applications
on discord 

2
Aug 29

Least Squares:
A parametric linear regression and
classification model
k-Nearest Neighbors:
A non-parametric regression
and classification model 

Thursday:
Quiz 1

Mon Aug 29
Add/Drop ends

3
Sept 5

Bayesian Decision Theory
Example: parametric models
using Gaussian feature distributions

Tuesday:
Assignment 1
(Least Squares,
Nearest N.)
Thursday:
Quiz 2

Prof. Zanibbi away
Lectures from TA/online

Readings in MyCourses:
* Charniak SLL Ch 2
* DuinEtAl Ch 2

4
Sept 12

Bayesian Decision Theory, continued

Thursday:
Quiz 3

5
Sept 19

Support Vector Machines:
Optimal linear binary classification
(i.e., for two classes)

Thursday:
Quiz 4

Career Fair

Hastie Ch. 12.1-12.1.3

6
Sept 26

Ensembles:
Combining classifiers,
regression using multiple models
(e.g., decision tree ensembles)

Thursday:
Quiz 5

Hastie Ch 9.2, 15 (skim)
Criminisi 3.1-3.4 

7
Oct 3

Neural Networks: Overview
Loss functions & Backpropagation
Example Neuron: 
'Classic' Perceptron

Tuesday:
Assignment 2
(Bayesian)
Thursday:
Quiz 6

Charniak DL
Chs 1 and 2

8
Oct 10

Backpropagation & Autogradient
Data use and training networks

Mon-Tues (Oct 10-11):
Fall Break
Lecture Cancelled Tuesday

9
Oct 17

Basic neural nets in TensorFlow

Tuesday:
Assignment 3
(SVM/Ens)
Thursday:
Quiz 7

Thursday:
Group Project Overview 

10
Oct 24

TensorFlow

Wednesday:
Group teams due

11
Oct 31

Convolutional Neural Networks
CNNs, continued

Thursday:
Project Proposal

Charniak DL, Ch 3

12
Nov 7

Recurrent Neural Networks

Registration Wk
(for Spring 2023)

Charniak DL, Ch 4

13
Nov 14

Tuesday:
Quiz 8
Thursday:
Assign 4
(CNNs)

Tuesday:
Group Project Discussion
Course eval forms available

14
Nov 21

Tuesday:
Quiz 9

Tuesday:
Group project discussion
Wed-Fri (Nov 23-25):
Thanksgiving Break
Lecture Cancelled Thursday

15
Nov 28

Final topics + Project

Friday:
Quiz 10

16
Dec 5

Exam Week:
No Lectures
Exam on Friday
1:30pm-4pm

Monday:
Assign 5 (RNNs)
Friday (Exam):
Project
Presentation

Mon Dec 5
End of Classes
Tues Dec 6
Reading Day
Friday Dec 9
**Exam, 1:30-4pm

17
Dec 12

Exam Week:
(Class finished)

Monday:
Project report
+ code

Wed Dec 14
Last Day of Exams
Fri Dec 16
Final Grades Due