課程概述
The course extends the fundamental tools in "Machine Learning Foundations" to powerful and practical models by three directions, which includes embedding numerous features, combining predictive features, and distilling hidden features. [這門課將先前「機器學習基石」課程中所學的基礎工具往三個方向延伸為強大而實用的工具。這三個方向包括嵌入大量的特徵、融合預測性的特徵、與萃取潛藏的特徵。]
篩選依據：
1 - 机器学习技术 的 3 個評論（共 3 個）
創建者 Chang C C
•2020年10月16日
Excellent course from NTU! Teach most fundamental and popular ML algorithms from mathematics to concepts. The slide is awesome and the course is well-struct. Assignments also helps me consolidate what we learned in class and I really love programming part!
創建者 象道
•2020年5月23日
A really hard course! True learners may replay experiences of great minds that have found the greatest formulas in Machine Learning.
創建者 Jiancheng Z
•2020年7月20日
The course is really excellent. Thank you Dr. Lin.
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