Introduction to machine learning
DVD - 2020
Saved in:
- Subjects
- Genres
- Lectures
Nonfiction films
Educational films
Video recordings for the hearing impaired - Published
-
Chantilly, Va. :
Teaching Company
2020.
- Language
- English
- Corporate Author
- Main Author
- Corporate Author
- Item Description
- "The Great courses, Topic: Science ; Subtopic: Engineering & technology"--Cover.
"Course no. 9070"--Disc labels.
25 lectures lasting 30 minutes each.
Course guidebooks laid in each container. Guidebooks contain outlines for each 30 minute lecture. - Physical Description
- 4 videodiscs (approximately 750 min.) : sound, color ; 4 3/4 in. + 1 course guidebook (iv, 210 pages : illustrations ; 19 cm)
- Format
- DVD.
- Bibliography
- Includes bibliographical references (pages 176-181) in course guidebook.
- ISBN
- 9781644650028
- 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.