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Back to 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

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

4.9
stars
937 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 first course of the two would focus more on mathematical tools, and the other course would focus more on algorithmic 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。本課程將較為著重數學類的工具，而另一課程將較為著重方法類的工具。]...

Top reviews

HL

Dec 1, 2017

This is a very nice courses. But I think the test is super hard for some students.

IW

Nov 18, 2017

Thank Prof. Lin and coursera for providing me with the platform and courses to make me better. Last but not least, the quiz is quite difficult...

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126 - 150 of 164 Reviews for 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

By 李进

•

May 29, 2018

very good

By yucong

•

Mar 15, 2018

深入浅出，强烈推荐

By Laputa

•

Dec 13, 2017

课后题对我有点难了

By Weber X

•

Sep 8, 2017

very good

By Yixin B

•

Dec 14, 2018

感谢老师~^_^

By 王斌

•

Aug 8, 2019

表白林轩田老师

By 蔡侑霖

•

Dec 8, 2018

非常優秀的課程

By kkopitehong

•

Aug 25, 2018

有点过于理论呀

By fengyin l (

•

Jan 18, 2022

Great!

By Sheng-Siang H

•

Apr 25, 2018

Great!

By 王阳

•

Feb 5, 2018

great!

By 海阔心

•

Dec 27, 2017

好棒的课程！

By chun

•

Aug 15, 2017

课程逻辑严密

By WANG J

•

May 17, 2018

非常细致！

By 廣翰 陳

•

Apr 18, 2018

Good!

By lishuang

•

Mar 10, 2018

good！

By 王磊

•

Mar 3, 2018

课程听好的

By 高有均

•

Nov 16, 2022

受益良多

By Jian M

•

Mar 7, 2021

g

o

o

d

By Sui X

•

May 31, 2019

good

By Leon L

•

Mar 30, 2018

good

By 仙 麒

•

Oct 24, 2017

good

By Yusen W

•

Aug 1, 2019

有点难

By 筍子

•

Apr 13, 2020

讚讚

By ZIAN X

•

Jan 13, 2019

Instructions were clear and good. I might just need to review it more times, but the first time I did feel that sometimes we've gone way into the weeds with the math and I lost the big picture - why are we looking at this equation to begin with? Maybe what would be beneficial is to have a concrete example that threads through the entire class and refer back to it to illustrate why we care about certain properties.