CS440/ECE448: Artificial Intelligence

CS440/ECE448: Artificial Intelligence

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duration 38 minutes 29 seconds

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Spring 2021 Lecture 27: Exam 3 Review

From Mark Hasegawa-Johnson

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duration 32 minutes 45 seconds

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Spring 2021 Lecture 26: Computer Vision

From Mark Hasegawa-Johnson

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duration 49 minutes 50 seconds

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Spring 2021 Lecture 25: AI Ethics

From Mark Hasegawa-Johnson

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duration 35 minutes 21 seconds

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Spring 2021 Lecture 24

From Mark Hasegawa-Johnson

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duration 29 minutes 17 seconds

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Spring 2021 Lecture 23: Model-Based Reinforcement Learning

From Mark Hasegawa-Johnson

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duration 39 minutes 59 seconds

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Spring 2021 Lecture 22: Markov Decision Processes

From Mark Hasegawa-Johnson

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duration 50 minutes 39 seconds

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Spring 2021 Lecture 21: Game Theory

From Mark Hasegawa-Johnson

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duration 41 minutes 51 seconds

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Spring 2021 Lecture 20: Exam 2 Review

From Mark Hasegawa-Johnson

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duration 34 minutes 57 seconds

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Spring 2021 Lecture 19: Alpha-Beta Search and Expectiminimax

From Mark Hasegawa-Johnson

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duration 46 minutes 53 seconds

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Spring 2021 Lecture 18: Minimax

From Mark Hasegawa-Johnson

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duration 30 minutes 22 seconds

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Spring 2021 Lecture 17: Vector Semantics

From Mark Hasegawa-Johnson

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duration 35 minutes 20 seconds

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Spring 2021 Lecture 16: Viterbi Algorithm

From Mark Hasegawa-Johnson

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duration 36 minutes 33 seconds

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Spring 2021 lecture 15: HMMs

From Mark Hasegawa-Johnson

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duration 39 minutes 43 seconds

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Spring 2021 lecture 14: Bayesian Network Learning

From Mark Hasegawa-Johnson

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duration 42 minutes 3 seconds

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Spring 2021 Lecture 13: Bayesian Networks

From Mark Hasegawa-Johnson

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duration 54 minutes 37 seconds

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Spring 2021 Lecture 12: Autograd

From Mark Hasegawa-Johnson

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duration 36 minutes 9 seconds

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Spring 2021 Lecture 11: Exam 1 Review

From Mark Hasegawa-Johnson

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duration 29 minutes 15 seconds

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Spring 2021 Lecture 10: Back-propagation

From Mark Hasegawa-Johnson

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duration 34 minutes 51 seconds

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Spring 2021 Lecture 09: Logistic Regression

From Mark Hasegawa-Johnson

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duration 29 minutes 1 second

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Spring 2021 Lecture 08: Perceptron

From Mark Hasegawa-Johnson

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duration 49 minutes 57 seconds

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Spring 2021 Lecture 7: Classifiers

From Mark Hasegawa-Johnson

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duration 35 minutes 5 seconds

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Spring 2021 Lecture 6: Naive Bayes

From Mark Hasegawa-Johnson

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duration 36 minutes 35 seconds

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Spring 2021 Lecture 5: Probability

From Mark Hasegawa-Johnson

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duration 37 minutes 9 seconds

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Spring 2021 Lecture 04

From Mark Hasegawa-Johnson

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duration 31 minutes 49 seconds

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Spring 2021 lecture 3

From Mark Hasegawa-Johnson

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duration 36 minutes 29 seconds

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Spring 2021 Lecture 1: Intro

From Mark Hasegawa-Johnson

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duration 31 minutes 40 seconds

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CS440/ECE448 Spring 2021 Lecture 2: Search

From Mark Hasegawa-Johnson

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Managers:: Mark Hasegawa-Johnson