Part 2

Prediction

How can a computer make predictions?

From drawing lines to estimating probabilities, each model appears because the previous one reaches its limit.

1. Linear Regression

Predict continuous values, measure vertical error with MSE, and learn good parameters with gradient descent.

2. Logistic Regression

Move from binary classification to probabilities, log-odds, maximum likelihood, and binary cross-entropy.

3. Optimising Models

Use derivatives, gradients, learning rates, and batch choices to train predictive models in practice.

4. Multiclass Classification

Extend classification beyond yes or no with softmax probabilities and categorical cross-entropy.