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[ML] {ud120} Lesson 4: Decision Trees

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[Artificial Intelligence] {ud954} Lesson 10: 10. Planning under Uncertainty

[Knowledge-based AI] {ud409} Lesson 26: 26 - Wrap-Up

[Knowledge-based AI] {ud409} Lesson 23: 23 - Learning by Correcting Mistakes

[Knowledge-based AI] {ud409} Lesson 21: 21 - Configuration

[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

[Knowledge-based AI] {ud409} Lesson 13: 13 - Planning

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 25} [Spectral Methods]

2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 21} [A Hybrid: Deep Learning and Graphical

2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 5} [Algorithms for Exact Inference]

2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 10} [HHM and CRF]

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