Description |
4 videodiscs (approximately 750 min.) : sound, color ; 4 3/4 in. + 1 course guidebook (iv, 210 pages : illustrations ; 19 cm). |
Physical Medium |
DVD 4 3/4 in. rda |
Description |
DVD digital optical rda |
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DVD video file DVD video rda |
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Filmed lectures lcgft |
Series |
Great courses. Science. Engineering & technology |
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Great courses (DVD). Science & mathematics. Engineering.
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Great courses. Engeneering. Technology.
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System Details |
DVD. |
Language |
In English; closed-captioned. |
Note |
Title from container. |
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Great courses no: 9070 |
Performer |
Lecturer: Professor Michael L. Littman, Brown University. |
Bibliography |
Includes bibliographical references (pages 176-181) in course guidebook. |
Contents |
Disc 1. Telling the computer what we want -- Starting with Python Notebooks and Colab -- Decision trees for logical rules -- Neural networks for perceptual rules -- Opening the Black box of neural network -- Bayesian models for probability prediction -- Genetic algorithms for evolved rules -- Disc 2. Nearest neighbors for using similarity -- The fundamental pitfall of overfitting -- Pitfalls in applying machine learning -- Clustering and semi-supervised learning -- Recommendations with three types of learning -- Games with reinforcement learning -- Disc 3. Deep learning for computer vision -- Getting a deep learner back on track -- Text categorization with words as vectors -- Deep networks that output language -- Making stylistic images with deep networks -- Making photorealistic images with GANs -- Disc 3. Deep learning for speech recognition -- Inverse reinforcement learning from people -- Casual inference comes to machine learning -- The unexpected power of over-parameterization -- Protecting privacy within machine learning -- Mastering the machine learning process. |
Subject |
Machine learning -- Videodiscs.
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Genre |
Lectures.
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Nonfiction films.
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Educational films.
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Video recordings for the hearing impaired.
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DVD-video discs.
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Added Author |
Littman, Michael L., teacher.
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Teaching Company, production company.
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ISBN |
9781644650028 |
Standard No. |
9781644650028 |
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