2026-27 Fall
FTEC5050 · L01
YUAN, Zixuan
3 Credits · Class #6368 · Reference Capacity 40
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COURSE
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.
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难度 · 从难到易
工作量 · 从劳累到轻松
评分 · 从苛刻到宽松
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3 Credits
官方数据更新时间: 2026-08-28 05:35:00
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
3 Credits
官方数据更新时间: 2026-08-06 14:55:26