ML2025 | Schedule

Date	Lecture	Readings	Logistics
Tues, 2025/09/23	Lecture #1 : Introduction to Machine Learning [ slides #1 slides #2 ]	Rademacher Complexity and VC-Dimension
Thurs, 2025/09/25	Lecture #2 : Introduction to Machine Learning (continued), Linear Regression [ slides #1 ]
Sun, 2025/09/28	Lecture #3 : Linear Regression (continued) [ slides #1 ]	Newton's Method & Gradient Descent Maximum Liklihood Estimation	补10月7号课程; Lab1 Out
Tues, 2025/09/30	Lecture #4 : Linear Regression (continued), Logistic Regression [ slides #1 ]		今天有实验课
Thurs, 2025/10/09	Lecture #5 : Logistic Regression (continued) [ slides #1 ]	Convexity Taylor series	HW1 Out
Tues, 2025/10/14	Lecture #6 : Model Selection & Evaluation [ slides #1 ]	Multi-class and Multi-labels	今天有实验课
Thurs, 2025/10/16	Lecture #7 : Model Selection & Evaluation (continued) [ slides #1 ]	The Relationship Between Precision-Recall and ROC Curves Tutorial on "The Many Faces of ROC Analysis in Machine Learning" at ICML'04	Lab2 Out
Tues, 2025/10/21	Lecture #8 : Support Vector Machine (Formulation) [ slides #1 ]
Thurs, 2025/10/23	Lecture #9 : Support Vector Machine (Optimization) [ slides #1 ]	Primal and dual problems Duality and SVM
Tues, 2025/10/28	Lecture #10 : Support Vector Machine (Soft margin) [ slides #1 ]	Duality Theory	今天有实验课
Thurs, 2025/10/30	Lecture #11 : Support Vector Machine (Kernel) [ slides #1 ]	The Representer Theorem
Tues, 2025/11/04	Lecture #12 : Neural Networks: Introduction [ slides #1 ]
Thurs, 2025/11/06	Lecture #13 : Neural Networks: Introduction (continued) [ slides #1 ]
Tues, 2025/11/11	Lecture #14 : Backpropagation [ slides #1 ]		今天有实验课
Thurs, 2025/11/13	Lecture #15 : Backpropagation [ slides #1 ]
Tues, 2025/11/18	Lecture #16 : Convolutional Neural Network [ slides #1 ]		Lab3 Out
Thurs, 2025/11/20	Lecture #17 : Convolutional Neural Network (continued), Recurrent Neural Network [ slides #1 slides #2 ]
Tues, 2025/11/25	Lecture #18 : Recurrent Neural Network [ slides #1 ]
Thurs, 2025/11/27	Lecture #19 : Decision Tree [ slides #1 ]	Information, Entropy, and Coding Decision Tree (lecture@Stanford)
Tues, 2025/12/02	Lecture #20 : Decision Tree (continued) [ slides #1 ]
Thurs, 2025/12/04	Lecture #21 : Decision Tree (continued) [ slides #1 ]
Tues, 2025/12/09	Lecture #22 : Ensemble [ slides #1 ]	AdaBoost Bagging, AdaBoost	今天有实验课
Thurs, 2025/12/11	Lecture #23 : Ensemble (continued) [ slides #1 ]	Boosting (lecture@MIT)
Tues, 2025/12/16	Lecture #24 : Ensemble (continued) [ slides #1 ]		今天有实验课
Thurs, 2025/12/18	Lecture #25 : Clustering [ slides #1 ]
Tues, 2025/12/23	Lecture #26 : Clustering (continued) [ slides #1 ]		今天有实验课
Thurs, 2025/12/25	Lecture #27 : 复习课 [ slides #1 ]
Mon, 2026/01/19	期末考试（时间 14:00-16:00、地点教八-302）