Back to 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations
Learner Reviews & Feedback for 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations by National Taiwan University
331 ratings
About the Course
Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. This second course of the two would focus more on algorithmic tools, and the other course would focus more on mathematical tools. [機器學習旨在讓電腦能由資料中累積的經驗來自我進步。我們的兩項姊妹課程將介紹各領域中的機器學習使用者都應該知道的基礎演算法、理論及實務工具。本課程將較為著重方法類的工具，而另一課程將較為著重數學類的工具。]
Top reviews
HL
Dec 5, 2017
What an amazing course! I hope professor can give new courses in the future and cover more practical things with so hard theoretical things.
JJ
Oct 3, 2018
很好的课程，更加注重算法的理论推导，当然也不乏运用的技巧。之前看过吴恩达老师的机器学习课程，感觉林老师这门课更加的深入，吴恩达老师的课省去了公式的推导，更偏向工程的实践，两门课可以算是相辅相成的。
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51 - 60 of 60 Reviews for 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations
By 廣翰 陳
•Apr 18, 2018
Good!
By Sui X
•Jun 1, 2019
good
By Deleted A
•Feb 27, 2018
best
By 陳詩誼
•Apr 30, 2021
很實用
By 粘耕毓
•Mar 10, 2018
gj
By Deleted A
•May 3, 2020
Great course on soliciting basics of ML! Looking forward to next one.
By Minglu Z
•Sep 11, 2018
内容相对上部要容易，涉及到的算法比较基本。
By 樊振强
•Jan 27, 2019
比起Stanford的，原理解释更清晰些
By 黃偉誌
•Apr 4, 2022
還不錯的課程但有時作業的題意不至清楚
By GoldenTeeth C
•Jul 2, 2018
真心不如吴恩达那个课，不知道为什么知乎上好多人推这门课