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。]
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华语世界有这样的一门免费课程，是华语世界之幸。天佑国立台湾大学
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!
A really hard course! True learners may replay experiences of great minds that have found the greatest formulas in Machine Learning.
Really amazing course. Very solid content and clear explanation.
The course is really excellent. Thank you Dr. Lin.
华语世界有这样的一门免费课程，是华语世界之幸。天佑国立台湾大学
林老师的课非常棒！耐心的讲解与精致的slides和有趣的习题！
深入浅出，学到了机器学习的一组基底
非常有意義的課程，學到了非常多有關於機器學習的理論和應用，對於我未來的研究非常有幫助，感謝老師開設這樣的數位課程，在家也能輕鬆學習。
課程非常扎實，具有實際應用與挑戰性!
Many thanks!
讚啦