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Course Summary

DateDetailsDue
Sun Jan 9, 2022Decision Trees 9pm
ML is the ROX 9pm
Sun Jan 16, 2022Neural Networks 9pm
Regression and Classification 9pm
Sun Jan 23, 2022Ensemble Learning 9pm
Instance-Based Learning 9pm
Sun Jan 30, 2022Kernel Methods and SVMs 9pm
Sun Feb 6, 2022Computational Learning Theory 9pm
VC Dimensions 9pm
Sun Feb 13, 2022Assignment Supervised Learning due by 8:59pm
Bayesian Learning and Inference 9pm
Sun Feb 20, 2022Information Theory 9pm
Randomized Optimization 9pm
Wed Feb 23, 2022Assignment Problem Set 1 due by 8:59pm
Tue Mar 1, 2022Assignment Midterm due by 6pm
Sun Mar 6, 2022Assignment Randomized Optimization due by 8:59pm
Tue Mar 8, 2022Clustering 9pm
Sun Mar 13, 2022Feature Selection 9pm
Feature Transformation 9pm
Sat Mar 19, 2022Withdrawal Deadline 12pm to 1pm
Sun Mar 20, 2022Markov Decision Processes 9pm
Sun Mar 27, 2022Assignment Unsupervised Learning and Dimensionality Reduction due by 8:59pm
Reinforcement Learning 9pm
Sun Apr 10, 2022Game Theory 9pm
Thu Apr 14, 2022Assignment Problem Set 2 due by 6pm
Sun Apr 17, 2022Assignment Markov Decision Processes due by 8:59pm
Fri Apr 22, 2022Finals Start 6am
Mon Apr 25, 2022Assignment Finals due by 6pm
Mon May 2, 2022Finals End 3pm
Mon May 9, 2022Assignment Midterm (Test your Setup) due by 8:59pm
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