DVD

Introduction to machine learning.

Record details

ISBN: 9781644650028
ISBN: 1644650029
Physical Description: 4 videodiscs (approximately 750 min.) : sound, color ; 4 3/4 in. + 1 course guidebook (iv, 210 pages : illustrations ; 19 cm).
Publisher: Chantilly, Va. : Teaching Company, 2020.

General Note:	Title from disc surface. Course no. 9070.
Bibliography, etc. Note:	Includes bibliographical references (pages 176-181) in course guidebook.
Formatted Contents Note:	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.
Participant or Performer Note:	Lecturer: Professor Michael L. Littman, Brown University.
System Details Note:	DVD.
Language Note:	In English; closed-captioned.