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Spring 2020: 10-708 Probabilistic Graphical Models
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Manage series 3251587
28 эпизодов
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Manage series 3251587
28 эпизодов
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1 Lecture 28: A Brief Overview of Trustworthy Machine Learning 1:18:42
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1 Lecture 27: Elements of Meta - Learning 1:20:33
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1 Lecture 26: Scalable algorithms and systems for learning, inference and prediction 1:44:28
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1 Lecture 25: Spectral Learning for Graphical Models 1:18:57
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1 Lecture 24: Bayesian Nonparametric: Indian Buffet Process 1:17:29
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1 Lecture 23: Bayesian nonparametric 1:20:50
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1 Lecture 22: Determinantal Point Process (Pengtao Xie) 1:13:23
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1 Lecture 21: Gaussian Processes 1:17:01
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1 Lecture 19: Reinforcement Learning and Control Through Inference in GM (part 1) 1:17:29
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1 Lecture 18: Guest Lecturer: Kun Zhang (Causality II) 1:19:55
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1 Lecture 17: Guest Lecturer: Kun Zhang (Causality I) 1:23:25
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1 Lecture 16: Modeling Networks 1:17:32
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1 Lecture 15: Case Study of Deep Generative Models: Text Generation 1:05:19
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