Syllabus for Machine Learning 10-601 in Fall 2014

This is the syllabus for Machine Learning 10-601 in Fall 2014.

Schedule

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Schedule for 10-601 in Fall 2014

601A	601B	Topic	Assignment/Notes
Wed 8/27	Tues 9/2	Overview and Intro to Probability		Ziv	William
Thurs 9/4	Thurs 9/4	Classification and K-NN	slides will be updated	Ziv	William
Tues 9/9	Tues 9/9	Decision Trees, and Rule Learning	slides will be updated	Ziv	William
Thurs 9/11	Thurs 9/11	The Naive Bayes algorithm		Ziv	William
Tues 9/16	Tues 9/16	Linear Regression	slides will be updated	Ziv	William
Thurs 9/18	Thurs 9/18	Logistic Regression		Ziv	William
Tues 9/23	Tues 9/23	The Perceptron algorithm	William's also lecturing in Ziv's class on Mon	Ziv	William
Thurs 9/25	Thurs 9/25	Neural networks and Deep Belief Networks	slides will be updated	Ziv	William
Tues 9/30*	Tues 9/30*	SVMs and Margin Classifiers 1	Ziv's also lecturing in his class on Mon	Ziv	William
Thurs 10/2*	Thurs 10/2*	SVMs and Margin Classifiers 2	Ziv's also lecturing in his class on Wed	Ziv	William
Tues 10/7	Tues 10/7	Evaluating and Comparing Classifiers Experimentally		Ziv	William
Thus 10/9	Thus 10/9	PAC Learning		Ziv	William
Tues 10/14*	Tues 10/14*	Bias-Variance Decomposition	William's also lecturing in Ziv's class on Mon	Ziv	William
Thurs 10/16	Thurs 10/16	Ensemble Methods 1, Ensemble Methods 2	slides to be updated	Ziv	William
Tues 10/21	Tues 10/21	Unsupervised Learning: k-Means and Mixtures		Ziv	William
Thus 10/23	Thus 10/23	Unsupervised Learning: Dimensionality Reduction		Ziv	William
Tues 10/28	Tues 10/28	Review session	slides to be posted	Ziv	William
Thurs 10/30	Thurs 10/30	Mid-term Exam	TBA: room and/or time may be different	Ziv	William
Tues 11/4*	Tues 11/4*	Graphical Models 1	Ziv's also lecturing in his class on Mon	Ziv	William
Thurs 11/6*	Thurs 11/6*	Graphical Models 2	Ziv's also lecturing in his class on Wed	Ziv	William
Tues 11/11*	Tues 11/11*	HMMS and Sequences	Ziv's also lecturing in his class on Mon	Ziv	William
Thus 11/13*	Thus 11/13*	Matrix Factorization and Topic Models	William's also lecturing in Ziv's class on Wed, slides to be updated	Ziv	William
Tues 11/18*	Tues 11/18*	Network Models	William's also lecturing in Ziv's class on Mon	Ziv	William
Thurs 11/20*	Thurs 11/20*	Semi-supervised learning	William's also lecturing in Ziv's class on Wed	Ziv	William
Tues 11/25*	Tues 11/25*	Scalable Learning and Parallelization	William's also lecturing in Ziv's class on Mon	Ziv	William
Thurs 11/27	Thurs 11/27	No class - Thanksgiving
	Tues 12/2*	Tues 12/2*	Learning and NLP		Ziv	William
Thurs 12/4	Thurs 12/4	Learning and Biology		Ziv	William

To other instructors: if you'd like to use any of the materials found here, you're absolutely welcome to do so, but please acknowledge their ultimate source somewhere.