Machine Learning 101

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

01What Is Machine Learning 02Data & Features 03Linear Regression 04Logistic Regression 05Decision Trees 06k-Nearest Neighbors 07Naive Bayes 08Support Vector Machines 09Model Evaluation 10Overfitting, Bias & Variance 11Gradient Descent & Optimization 12Ensemble Learning 13Unsupervised Learning 14Neural Networks & Backprop 15Convolutional Neural Networks 16MLOps & Deployment