Volver a 機器學習技法 (Machine Learning Techniques)
Opiniones y comentarios de aprendices correspondientes a 機器學習技法 (Machine Learning Techniques) por parte de Universidad Nacional de Taiwán
20 calificaciones
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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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1 - 6 de 6 revisiones para 機器學習技法 (Machine Learning Techniques)
por 張嘉棋
•16 de oct. de 2020
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!
por 象道
•23 de may. de 2020
A really hard course! True learners may replay experiences of great minds that have found the greatest formulas in Machine Learning.
por leftheory
•3 de jul. de 2021
Really amazing course. Very solid content and clear explanation.
por Jiancheng Z
•20 de jul. de 2020
The course is really excellent. Thank you Dr. Lin.
por Yining Z
•27 de sep. de 2021
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
por Yulei Q
•15 de jul. de 2021
林老师的课非常棒！耐心的讲解与精致的slides和有趣的习题！
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