COURSE

FTEC5050

Machine Learning and Artificial Intelligence

Society Hub / Financial Technology · 3 Credits

This course covers the fundamentals of machine learning and artificial intelligence, and their applications in computer vision, image processing, natural language processing, and robotics. The topics include major learning paradigms (supervised learning, unsupervised learning and reinforcement learning), learning models (such as neural networks, Bayesian classification, clustering, kernels, feature extraction), and other problem solving techniques (such as heuristic search, constraint satisfaction solvers and knowledge-based systems) in AI.

Course 历年总评分

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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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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

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2026-27 Fall · PG

3 Credits

官方数据更新时间: 2026-08-28 05:35:00

历史目录与其他学期
2025-26 Spring · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

2025-26 Winter · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

2025-26 Fall · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

2024-25 Summer · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

2024-25 Spring · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

2024-25 Winter · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

2024-25 Fall · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26