https://marcusyf.github.io/academic-homepage-template/courses/ds-101/DS 101: Introduction to Machine Learning (Spring 2026)HugoBlox Kit (https://hugoblox.com)en-usWed, 07 Jan 2026 00:00:00 +0000https://marcusyf.github.io/academic-homepage-template/media/sharing.pnghttps://marcusyf.github.io/academic-homepage-template/courses/ds-101/https://marcusyf.github.io/academic-homepage-template/courses/ds-101/syllabus/Mon, 01 Jan 0001 00:00:00 +0000https://marcusyf.github.io/academic-homepage-template/courses/ds-101/syllabus/<h2 id="topics">Topics</h2> <ol> <li><strong>Foundations:</strong> learning from data, empirical risk minimization, generalization.</li> <li><strong>Prediction:</strong> linear and logistic regression, regularization, kernels.</li> <li><strong>Structure:</strong> clustering, dimensionality reduction, matrix factorization.</li> <li><strong>Representations:</strong> embeddings and generative models.</li> </ol> <h2 id="assessment">Assessment</h2> <p>Homework 40% · Labs 20% · Final project 40%. <em>(Placeholder.)</em></p>