COURSE

AIAA4432

Statistical Machine Learning

Information Hub / Artificial Intelligence · 3 Credits

This course is an advanced course in machine learning. It dives into statistical methods that are very popular in modern machine learning systems. It includes topics like supervised learning, dimensional reduction, support vector machines, boosting, sparse methods and deep learning, etc. In this course, we will delve into statistical methods for machine learning. It covers hot topics in statistical learning, aiming to provide students with state-of-the-art statistical tools to enhance modern engineering and science practice.

Course 历年总评分

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推荐度

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难度 · 从难到易

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工作量 · 从劳累到轻松

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评分 · 从苛刻到宽松

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可用 Sections

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仅展示 2026-27 Fall;历史教学班可通过学期筛选查看。

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官方 Course Catalog

按 Semester 保存的 UG/PG 目录快照;这些记录不代表一定存在可选的 Section。

2026-27 Fall · UG

3 Credits

官方数据更新时间: 2026-08-28 05:35:00

先修: DSAA2011 AND UFUG2104 DSAA2011UFUG2104

历史目录与其他学期
2025-26 Summer · UG

3 Credits

官方数据更新时间: 2026-08-28 05:35:00

先修: DSAA2011 AND UFUG2104 DSAA2011UFUG2104

2025-26 Spring · UG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

先修: DSAA2011 AND UFUG2104 DSAA2011UFUG2104

2025-26 Winter · UG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

先修: DSAA2011 AND UFUG2104 DSAA2011UFUG2104

2025-26 Fall · UG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

先修: DSAA2011 AND UFUG2104 DSAA2011UFUG2104