The schedule below represents my current best estimate concerning due dates (and everything else). I am providing this information to give you a general idea of the pace and timing of the class. This schedule will certainly change as the semester progresses.

Unless otherwise noted, all readings are from

Readings followed by (S) are supplemental. You may find them helpful.

WEEK DATE TOPIC READING/VIDEOS OUT IN
1 08-21 Introduction CH 1 through "Types of Machine Learning Systems" Python Setup
2 08-26 Decision Tree Activity (.pdf)
Numpy Lab
CH 6
Fast Numpy Video
https://scipy-lectures.org/ (1.3.1-1.3.2)


08-28 Decision Trees + Numpy
PA1
3 09-02 Bias/Variance Trade-Off Expected Value
Bias/Variance


09-04 Testing and Validation CH 1 "Main Challenges of Machine Learning" to end
Cross Validation (3.1)
Leave One Out


4 09-09 Evaluating Classifiers CH 3 through "Error Analysis"

09-11 EXAM 1


5 09-16 Random Forest
Boosting



09-18 Probability

PA1
6 09-23 Naive Bayes

09-25
Gradient Descent
Linear Algebra Review (S)
Video (S)
More Videos (S)
Calculus Refresher (S) 9-14

Neural Net Video 1/2
Neural Net Video 2/2


7 09-30 Logistic Regression


10-02 MLP PyTorch Tensors
PyTorch Autograd


8 10-07 EXAM 2


10-09 PyTorch Practice PyTorch Tutorial Poster Project
9 10-14 Regularization deeplearningbook.org
7 - 7.1.2, 7.4
7.12 (s)
8.2.2 - 8.2.4, 8.3.2


10-16 Autodiff Autodiff Video

10 10-21 FALL BREAK


10-23 Convnets https://setosa.io/ev/image-kernels/
CNN Intro 1/3
CNN Intro 2/3
CNN Intro 3/3 (s)

Poster Proposal
11 10-28
RNN
Word Embedding Tutorial
"Unreasonable Effectiveness"
deeplearningbook.org
10-10.2.0 (s)


10-30 RNN LSTM Tutorial
Transformer Tutorial


12 11-04 EXAM 3


11-06 Transformers ThreeBlueOneBrown 5
ThreeBlueOneBrown 6
ThreeBlueOneBrown 7

Poster Bibliography
13 11-11 Transformers


11-13
SVM
CH 4.9

14 11-18 PCA
Covariance Tutorial
Video


11-20 Nonlinear Dimensionality
Reduction
t-SNE Paper
PDSH: Manifold Learning
Poster Draft
15 11-25 THANKSGIVING


11-27 THANKSGIVING


16 12-02 Clustering


12-04 EXAM 4