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Avis et commentaires pour d'étudiants pour 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations par Université nationale de Taïwan

308 évaluations
60 avis

À propos du cours

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。]...

Meilleurs avis


4 déc. 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 oct. 2018


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1 - 25 sur 60 Avis pour 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

par Yijie Q

26 nov. 2018


par Jeff

3 oct. 2018


par lcy9086

18 avr. 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。

par Jeremy L

3 déc. 2017


par Ho K

5 juin 2019


par Aditya N

17 févr. 2021


par Jack W

6 févr. 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.

par ZIAN X

4 févr. 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.

par Harry L

5 déc. 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.

par 刘志伟

13 avr. 2019

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

par 徐森

17 nov. 2019

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

par guanghaoli

13 août 2020

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

par Ryan

15 avr. 2018

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

par t_xinxishijie

14 mars 2018

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

par kuo j

27 oct. 2021

The course is moderately difficult and challenging

par cornell

8 oct. 2021

R​eally great theoretical machine learning course!

par Wang B

6 juin 2018

good explaination the foundation of all ML models

par 刘沛奇

28 févr. 2021


par Garfield

19 juin 2019

amazing! Great course! thanks a lot!

par Tse-Yu L

18 févr. 2018

Nice course, excellent course design.

par cheyao

13 janv. 2018

excellent and clear teaching of ML

par Yen, Y

27 août 2018

Best ML course I have ever taken!

par 何旭东

13 janv. 2021



10 déc. 2018




par Chen X

29 janv. 2018

good, but quiz is not enough.