Learning - Lecture 4 - CS50's Introduction to Artificial Intelligence with Python 2020
00:00:00 - Introduction
00:00:15 - Machine Learning
00:01:15 - Supervised Learning
00:08:11 - Nearest-Neighbor Classification
00:12:30 - Perceptron Learning
00:33:19 - Support Vector Machines
00:39:31 - Regression
00:42:37 - Loss Functions
00:49:33 - Overfitting
00:55:44 - Regularization
00:59:42 - scikit-learn
01:09:57 - Reinforcement Learning
01:13:02 - Markov Decision Processes
01:19:56 - Q-learning
01:38:54 - Unsupervised Learning
01:40:19 - k-means Clustering
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that g…
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Chapters (16)
Introduction
0:15
Machine Learning
1:15
Supervised Learning
8:11
Nearest-Neighbor Classification
12:30
Perceptron Learning
33:19
Support Vector Machines
39:31
Regression
42:37
Loss Functions
49:33
Overfitting
55:44
Regularization
59:42
scikit-learn
1:09:57
Reinforcement Learning
1:13:02
Markov Decision Processes
1:19:56
Q-learning
1:38:54
Unsupervised Learning
1:40:19
k-means Clustering
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