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

• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3rd Edition, Aurélien Géron, 2022.

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

WEEK	DATE	TOPIC	READING/VIDEOS	OUT	IN
1	08-27	Introduction to ML decision_trees_p_1_2.pdf	CH 1 through "Types of Machine Learning Systems" (p. 3-27)	Python Setup
2	09-01	Decision Tree Activity (.pdf)	CH 5 (p. 179-193) Fast Numpy Video https://scipy-lectures.org/ (1.3.1-1.3.2)
	09-03	Numpy Lab	Linear Algebra Review (S) Video (S) More Videos (S)	PA1 linear_algebra_exercises.pdf
3	09-08	Model selection and cross-validation
	09-10	Probability and expectation; bias/variance decomposition
4	09-15	Evaluating classifiers; Exam 1 coverage walkthrough
	09-17	EXAM 1
5	09-22	Ensembles: bagging, random forests, boosting
	09-24	Naive Bayes		PA2	PA1
6	09-29	Matrix geometry warm-up; linear regression and gradient descent
	10-01	Logistic regression, likelihood, cross-entropy
7	10-06	Multi-layer perceptrons and backpropagation
	10-08	FALL BREAK
8	10-13	PyTorch fundamentals			PA2
	10-15	EXAM 2
9	10-20	Network training: ReLU, initialization, regularization		Poster Project
	10-22	Computation graphs and automatic differentiation		PA3
10	10-27	Convolutional networks
	10-29	CIFAR-10 lab; poster project orientation			Poster Proposal
11	11-03	Recurrent networks: recurrence to attention
	11-05	Transformers			PA3 (11/8)
12	11-10	Transformer activity
	11-12	EXAM 3
13	11-17	Principal component analysis
	11-19	Nonlinear dimensionality reduction			Poster Bibliography
14	11-24	THANKSGIVING
	11-26	THANKSGIVING
15	12-01	Clustering
	12-03	Poster studio			Poster Checkpoint
16	12-08	EXAM 4
	12-10	Poster peer review and revision			Poster Draft
17	12-17	Poster Session and Presentations