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introml-fa24-final-review
Oct 06, 2024
18
0
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6.390 IntroML (Fall24) - Lecture 13 Non-parametric Models
Oct 06, 2024
25
0
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6.390 IntroML (Fall24) - Lecture 12 Reinforcement Learning
Oct 06, 2024
28
1
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6.390 IntroML (Fall24) - Lecture 11 Markov Decision Processes
Oct 06, 2024
35
1
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6.390 IntroML (Fall24) - Lecture 10 Clustering
Oct 06, 2024
47
0
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6.390 IntroML (Fall24) - Lecture 9 Transformers
Oct 06, 2024
51
3
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6.390 IntroML (Fall24) - Lecture 8 Convolutional Neural Networks
Oct 06, 2024
42
0
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introml-fa24-midterm-review
Aug 22, 2024
43
0
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6.390 IntroML (Fall24) - Lecture 7 Auto-encoders (Representation Learning)
Aug 22, 2024
56
0
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6.390 IntroML (Fall24) - Lecture 6 Neural Networks
Aug 22, 2024
60
0
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6.390 IntroML (Fall24) - Lecture 5 Features
Aug 22, 2024
55
0
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6.390 IntroML (Fall24) - Lecture 4 Linear Classification
Aug 22, 2024
61
0
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6.390 IntroML (Fall24) - Lecture 3 Gradient Descent Methods
Aug 22, 2024
64
0
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6.390 IntroML (Fall24) - Lecture 2 Linear Regression and Regularization
Aug 22, 2024
68
0
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introml-sp24-final-review
May 12, 2024
103
0
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Guest Lecture - Some recent ML trends/applications
May 12, 2024
82
0
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6.036-to-6.390
Mar 24, 2024
52
0
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introml-sp24-midterm-review
Mar 09, 2024
101
0
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introml-sp24-lec12
Mar 03, 2024
98
0
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introml-sp24-lec11
Mar 03, 2024
107
0
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introml-sp24-lec10
Mar 03, 2024
129
0
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introml-sp24-lec9
Mar 03, 2024
91
0
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introml-sp24-lec8
Mar 03, 2024
99
0
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introml-sp24-lec7
Feb 19, 2024
126
0
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introml-sp24-lec6
Feb 19, 2024
126
0
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introml-sp24-lec5
Feb 19, 2024
84
0
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introml-sp24-lec4
Feb 17, 2024
103
0
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introml-sp24-lec3
Feb 10, 2024
103
0
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introml-sp24-lec2
Jan 15, 2024
205
0
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Lecture 18 - Deep Reinforcement Learning
Dec 12, 2023
62
0
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Lecture 24 - Some recent ML trends/applications - 6.7900 Machine Learning (Fall 2023)
Dec 09, 2023
264
0
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Lecture 17 - Reinforcement Learning - 6.7900 Machine Learning (Fall23)
Dec 09, 2023
63
0
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Lecture 16 - Markov Decision Processes
Dec 09, 2023
51
0
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6.390 overview
Dec 08, 2022
107
0
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CNN
Mar 21, 2022
118
0
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Convex sets and convex functions
Feb 22, 2021
300
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