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Bewertung und Feedback des Lernenden für 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations von National Taiwan University

308 Bewertungen
60 Bewertungen

Über den Kurs

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。]...



4. Dez. 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.


2. Okt. 2018


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1 - 25 von 60 Bewertungen für 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

von Yijie Q

26. Nov. 2018


von Jeff

3. Okt. 2018


von lcy9086

18. Apr. 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。

von Jeremy L

3. Dez. 2017


von Ho K

5. Juni 2019


von Aditya N

17. Feb. 2021


von Jack W

6. Feb. 2022

This course covers ML theory, which involves many math derivations, and is thus much difficult than Andrew Ng's ML course. Hence, this course is suitable for ML researchers, not for ML beginner. Besides, the quizzes are more challenging than the lectures.

von ZIAN X

4. Feb. 2019

Very good course for exactly what it's for - theoretical foundation. I wish there were more courses that aim at applying these techniques in practice with actual problems.

von Harry L

5. Dez. 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.

von 刘志伟

13. Apr. 2019

The best course for machine learning I ever met! Very recommended to those who want to build a solid foundation in machine learning.

von 徐森

17. Nov. 2019

the ML isn't alchemy, from the parameters and regularization, we can interpret the model

von guanghaoli

13. Aug. 2020

I learned machine learning theory from this course. This is very useful.

von Ryan

15. Apr. 2018

A perfect course in spite of a little in-digestibility .

von t_xinxishijie

14. März 2018

Very interesting course for me! I love it very much.

von kuo j

27. Okt. 2021

The course is moderately difficult and challenging

von cornell

8. Okt. 2021

R​eally great theoretical machine learning course!

von Wang B

6. Juni 2018

good explaination the foundation of all ML models

von 刘沛奇

28. Feb. 2021


von Garfield

19. Juni 2019

amazing! Great course! thanks a lot!

von Tse-Yu L

18. Feb. 2018

Nice course, excellent course design.

von cheyao

13. Jan. 2018

excellent and clear teaching of ML

von Yen, Y

27. Aug. 2018

Best ML course I have ever taken!

von 何旭东

13. Jan. 2021



10. Dez. 2018




von Chen X

29. Jan. 2018

good, but quiz is not enough.