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Learner Reviews & Feedback for 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations by National Taiwan University

318 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


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.


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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1 - 25 of 60 Reviews for 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

By Chenyu L

Apr 18, 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。

By Yijie Q

Nov 26, 2018


By Jeff

Oct 3, 2018


By Jack W

Feb 6, 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.

By Jeremy L

Dec 3, 2017


By Ho K

Jun 5, 2019


By Aditya N

Feb 17, 2021



Feb 4, 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.

By Harry L

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.

By 刘志伟

Apr 13, 2019

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

By 徐森

Nov 17, 2019

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

By guanghaoli

Aug 13, 2020

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

By Ryan

Apr 15, 2018

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

By t_xinxishijie

Mar 14, 2018

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

By kuo j

Oct 27, 2021

The course is moderately difficult and challenging

By cornell

Oct 8, 2021

Really great theoretical machine learning course!

By Wang B

Jun 6, 2018

good explaination the foundation of all ML models

By 刘沛奇

Feb 28, 2021


By Garfield

Jun 19, 2019

amazing! Great course! thanks a lot!

By Tse-Yu L

Feb 18, 2018

Nice course, excellent course design.

By cheyao

Jan 13, 2018

excellent and clear teaching of ML

By Yen, Y

Aug 27, 2018

Best ML course I have ever taken!

By 何旭东

Jan 13, 2021



Dec 10, 2018




By Chen X

Jan 29, 2018

good, but quiz is not enough.