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Machine Learning with Open CV and Python
Introduction to Machine Learning
The Course Overview (3:01)
The Basics of Machine Learning (6:08)
Extracting Features and Preparing the Data
Creating Training Data and Extracting Information (6:18)
Extracting Features (4:07)
Classifier and Regression
K-Nearest Neighbors (8:37)
Logistic Regression (8:03)
Normal Bayes Classifier (4:27)
Decision Trees and Support Vector Machines
Decision Trees (10:12)
Support Vector Machines (12:02)
Neural Networks
Artificial Neural Networks (12:29)
Unsupervised Learning and Introduction to Deep Learning
Unsupervised Learning (5:03)
Deep Learning (15:04)
Unsupervised Learning
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