Machine Learning 201
Sixteen lessons from first principles to deployment. Each lesson pairs a written reference article with a Cantonese two-host podcast, a visual guide and a short quiz. Pass the quiz to complete the lesson and unlock the Final Exam.
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All 16 lessons
01From Principles to PracticeComplete · 86%02The Math You Actually Need03Designing Loss Functions04Deriving the Gradients05Optimizers In Depth06Regularization & Generalization07Feature Engineering & Pipelines08Hyperparameter Tuning09Imbalanced Data10Feature Selection & Dimensionality Reduction11Model Interpretability12Time Series & Leakage13Deep Learning in Practice14Transfer Learning & Fine-Tuning15Introduction to Generative Models16ML Engineering in the LLM Era