Tutorials

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Tutorial 1: Probability Review, Training, Validation, Test Set and Model Selection

• Slides
• Code

Tutorial 2: Lab for GD and Logistic Regression

• Code

Tutorial 3: Gradient descent with numpy and torch

• Code