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
328 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 4, 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.
CL
Apr 17, 2018
林老師的課不僅聽起來比較清晰易懂，並且深度足夠（比Andrew Ng的課而言深度要大不少），值得多次聽講。作業質量也比較高，能夠有很好的鍛煉效果。期待後續的技法課程能夠在coursera上面公佈。
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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
•May 31, 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 10, 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 26, 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