Statistical Learning and Data Mining / Fall 2023
Updates
- New Assignment released: [Assignment #10]
- New Assignment released: [Assignment #9]
- New Assignment released: [Assignment #8]
- New Assignment released: [Assignment #7]
- New Assignment released: [Assignment #6]
- New Assignment released: [Assignment #5]
- New Assignment released: [Assignment #4]
Course Description
Statistical learning refers to a set of tools for modeling and understanding complex datasets. It is a recently developed area in statistics and blends with parallel developments in computer science and, in particular, machine learning. We will cover how to use machine learning techniques and statistics with the goal of statistical inference: drawing conclusions on the data at hand. This course encompasses many methods such as regression, classification, regression trees, boosting, support vector machines, clustering and dimension reduction.
Please see the course syllabus here.
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Office hours: Mon. 16:00-18:00 and Wed. 16:00-18:00
TA hour: Mon. 14:00-16:00 (柏呈) and Tue. 13:30-15:30 (宇鴻)
