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返回到 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

学生对 National Taiwan University 提供的 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations 的评价和反馈

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937 个评分

课程概述

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。]...

热门审阅

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...

MC

Feb 18, 2018

The speaker explains the ML in very clear and easier to understand way. I believe everyone can understand if he/she follow the course.

筛选依据：

126 - 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations 的 150 个评论（共 164 个）

创建者 李进

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May 29, 2018

very good

创建者 yucong

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Mar 15, 2018

深入浅出，强烈推荐

创建者 Laputa

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Dec 13, 2017

课后题对我有点难了

创建者 Weber X

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Sep 7, 2017

very good

创建者 Yixin B

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Dec 14, 2018

感谢老师~^_^

创建者 王斌

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Aug 8, 2019

表白林轩田老师

创建者 蔡侑霖

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Dec 8, 2018

非常優秀的課程

创建者 kkopitehong

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Aug 24, 2018

有点过于理论呀

创建者 fengyin l (

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Jan 18, 2022

Great!

创建者 Sheng-Siang H

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Apr 25, 2018

Great!

创建者 王阳

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Feb 5, 2018

great!

创建者 海阔心

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Dec 27, 2017

好棒的课程！

创建者 chun

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Aug 15, 2017

课程逻辑严密

创建者 WANG J

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May 17, 2018

非常细致！

创建者 廣翰 陳

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Apr 17, 2018

Good!

创建者 lishuang

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Mar 9, 2018

good！

创建者 王磊

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Mar 3, 2018

课程听好的

创建者 高有均

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Nov 16, 2022

受益良多

创建者 Jian M

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Mar 7, 2021

g

o

o

d

创建者 Sui X

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May 31, 2019

good

创建者 Leon L

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Mar 29, 2018

good

创建者 仙 麒

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Oct 23, 2017

good

创建者 Yusen W

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Aug 1, 2019

有点难

创建者 筍子

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Apr 13, 2020

讚讚

创建者 ZIAN X

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Jan 12, 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.