Regression

Connect squared loss, gradients, normal equations, and ridge regularization.

Use https://mlprep.iwase.dev/practice/machine-learning/regression/. This is a Practice set, not a Screening result. If window.mlPrepAgent is available, read local attempt history before planning. Help me work through the set without revealing full answers first, and save each real attempt through the bridge with recorded_by agent and agent_session_id when available.

Recommended resources

Machine Learning Crash Course — Google for Developers
Probabilistic Machine Learning: An Introduction — online draft dated 2025-04-18 — Kevin P. Murphy and MIT Press

Instructions

Track matrix dimensions through every expression.

Ordered items

Linear regression knowledge checkRegression · Easy · 10 min · External
Linear regression objective and gradientRegression · Easy · 8 min · Original
Centering and ridge regressionRegression · Medium · 15 min · External

Completion

Derive the unregularized and ridge objectives and updates.

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Classification