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6.390 IntroML (Fall24) - Lecture 11 Markov Decision Processes
Oct 06, 2024
15
0
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6.390 IntroML (Fall24) - Lecture 10 Clustering
Oct 06, 2024
25
0
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6.390 IntroML (Fall24) - Lecture 9 Transformers
Oct 06, 2024
38
2
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6.390 IntroML (Fall24) - Lecture 8 Convolutional Neural Networks
Oct 06, 2024
26
0
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introml-fa24-midterm-review
Aug 22, 2024
29
0
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6.390 IntroML (Fall24) - Lecture 7 Auto-encoders (Representation Learning)
Aug 22, 2024
37
0
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6.390 IntroML (Fall24) - Lecture 6 Neural Networks
Aug 22, 2024
43
0
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6.390 IntroML (Fall24) - Lecture 5 Features
Aug 22, 2024
37
0
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6.390 IntroML (Fall24) - Lecture 4 Linear Classification
Aug 22, 2024
44
0
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6.390 IntroML (Fall24) - Lecture 3 Gradient Descent Methods
Aug 22, 2024
45
0
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6.390 IntroML (Fall24) - Lecture 2 Linear Regression and Regularization
Aug 22, 2024
49
0
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introml-sp24-final-review
May 12, 2024
89
0
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Guest Lecture - Some recent ML trends/applications
May 12, 2024
69
0
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6.036-to-6.390
Mar 24, 2024
39
0
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introml-sp24-midterm-review
Mar 09, 2024
89
0
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introml-sp24-lec12
Mar 03, 2024
80
0
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introml-sp24-lec11
Mar 03, 2024
86
0
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introml-sp24-lec10
Mar 03, 2024
119
0
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introml-sp24-lec9
Mar 03, 2024
77
0
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introml-sp24-lec8
Mar 03, 2024
82
0
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introml-sp24-lec7
Feb 19, 2024
108
0
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introml-sp24-lec6
Feb 19, 2024
108
0
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introml-sp24-lec5
Feb 19, 2024
68
0
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introml-sp24-lec4
Feb 17, 2024
88
0
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introml-sp24-lec3
Feb 10, 2024
87
0
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introml-sp24-lec2
Jan 15, 2024
194
0
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Lecture 18 - Deep Reinforcement Learning
Dec 12, 2023
53
0
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Lecture 24 - Some recent ML trends/applications - 6.7900 Machine Learning (Fall 2023)
Dec 09, 2023
247
0
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Lecture 17 - Reinforcement Learning - 6.7900 Machine Learning (Fall23)
Dec 09, 2023
55
0
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Lecture 16 - Markov Decision Processes
Dec 09, 2023
43
0
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6.390 overview
Dec 08, 2022
95
0
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CNN
Mar 21, 2022
104
0
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Convex sets and convex functions
Feb 22, 2021
291
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