Empirical Risk Minimization and General Machine Learning Workflow
14:30
Components of Machine Learning: Data, Models, Training, and Evaluation
8:54
Germany’s Far-Right Comeback | NYT Opinion
32:36
Data Loading, Understanding, and Filtering for Machine Learning Using Pandas
13:22
Perceptron
21:16
Shannon Entropy and Information Gain
33:16
Evaluating Classifiers: Confusion Matrix, Precision, and Recall
46:03
Basics of Python and Object-Oriented Programming With Simple Linear Regression
50:05