Index of /course_videos/4478/f23/
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0 - Intro and Motivation.mp4 27-Dec-2023 20:59 224987301
1 - Perceptron.mp4 27-Dec-2023 20:59 200844466
10 - Feature Selection.mp4 27-Dec-2023 20:59 193648588
11 - Feature Reduction.mp4 27-Dec-2023 20:59 182183136
12 - Decision Trees.mp4 27-Dec-2023 20:59 237285386
13 - Decision Trees.mp4 27-Dec-2023 20:59 198650867
13.5 - Decision Trees.mp4 27-Dec-2023 20:59 211163598
14 - Nearest Neighbor.mp4 27-Dec-2023 20:59 190147567
15 - Bayesian Learning.mp4 27-Dec-2023 20:58 200318250
16 - Ensembles.mp4 27-Dec-2023 20:58 225180116
17 - Clustering.mp4 27-Dec-2023 20:58 212574568
18 - Clustering.mp4 27-Dec-2023 20:58 216677110
19 - Genetic Algorithms.mp4 27-Dec-2023 20:58 202798420
2 - Perceptron.mp4 27-Dec-2023 20:59 190204647
20 - Markov Models.mp4 27-Dec-2023 20:58 227586294
21 - Unix, Vim, Supercomputing.mp4 27-Dec-2023 20:58 238169506
22 - Reinforcement Learning.mp4 27-Dec-2023 20:58 230846451
23 - Ethics of Machine Learning.mp4 27-Dec-2023 20:58 315009618
25 - Final Prep.mp4 27-Dec-2023 20:58 273995395
3 - Data, Testing, and ML Toolkit.mp4 27-Dec-2023 20:59 249849548
4 - Regression.mp4 27-Dec-2023 20:59 234764740
5 - Inductive Bias.mp4 27-Dec-2023 20:59 241517817
6 - Backpropagation.mp4 27-Dec-2023 20:59 212756746
7 - Backpropagation.mp4 27-Dec-2023 20:59 175313722
8 - Backpropagation.mp4 27-Dec-2023 20:59 247652924
9 - Comparing Classifiers.mp4 27-Dec-2023 20:59 246794731