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Вернуться к 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

Отзывы учащихся о курсе 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations от партнера Национальный университет Тайваня

4.9
звезд
Оценки: 791
Рецензии: 145

О курсе

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。]...

Лучшие рецензии

LL
23 июня 2018 г.

This course give a theoretical analysis of machine learning,though there is not much introduction of algorithm in detail,but this helped me open a new door of machine learning.

TT
3 мар. 2018 г.

I am very grateful to the teacher for bring me to the world of Machine Learing. I am new in the field. I will try my best to learn the basic knowledge of ML.

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1–25 из 141 отзывов о курсе 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

автор: Sidney N

16 нояб. 2018 г.

机器学习的数学和统计学基础本是让人望而生畏的部分,但林老师的讲解深入浅出,循序渐进,在有限的时间内让我领略了机器学习背后的原理,为后续学习机器学习算法增加了信心,非常感谢林老师的课程!

автор: ChaoLin

24 окт. 2018 г.

基石上是很基础的一些知识,VC等等,不过我觉得作为想搞应用的人来说,这些底层数学原理不用学的那么详细,理解含义和思想即可,但是知道这些还是必须的!

автор: 陈千奔

11 мая 2019 г.

这个课程对于原理的解释比较细致,能知其然也知其所以然,很棒!

автор: LiXiang

23 июня 2018 г.

This course give a theoretical analysis of machine learning,though there is not much introduction of algorithm in detail,but this helped me open a new door of machine learning.

автор: Hong H

9 февр. 2019 г.

Other course only tells me how to use ML but this course tells me to how to deep-in understand ML foundations. I am very grateful to the teacher, 林軒田. Thank you soooo much.

автор: t_xinxishijie

4 мар. 2018 г.

I am very grateful to the teacher for bring me to the world of Machine Learing. I am new in the field. I will try my best to learn the basic knowledge of ML.

автор: zhaoone

15 сент. 2019 г.

Though I know many machine algorithms, but I've never thought about WHY machine can learn. This course let me know (to some extent) the fundamental issue.

автор: 王逸辰

19 нояб. 2017 г.

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...

автор: Ming-Chieh C

18 февр. 2018 г.

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

автор: 黄东晓

13 янв. 2018 г.

wonderful class !

the teacher from NTU is quite humorous and gives class in an interesting and simple way! highly recommended!

автор: 杨之龙

24 янв. 2018 г.

Hard for mathmatical reasons, which made a solid fundation. Should recall or relearn math if you really wanna do sth on ML.

автор: gebagong

20 окт. 2017 г.

Lin is a very funny teacher.The course is really valuable.i will recap this course many times.thanks teacher lin again.thks

автор: Minglu Z

28 авг. 2018 г.

Theoretically explained why machine learning is feasible. The content is a little bit hard to understand.

автор: Jay S

18 апр. 2020 г.

以比較數學理論的角度解析機器學習,並且作為立論導入機器學習的領域,數學的部分真的蠻有難度,需要去思考一下,但是整體來說對於機器學習的概念有非常大的幫助,甚至可以藉由這些理論在一些案例中進行修正,非常有幫助。

автор: Jiqing H

17 сент. 2017 г.

A great theoretical course in machine learning, and looking for he second part of the math foundation

автор: 林Lin智海Chihhai

12 июня 2018 г.

以前曾在台大上过课,对台大老师授课循序渐进的思路十分钦佩。这绝对是一门能够吸引学生全神贯注听讲的机器学习课程。没有复杂的推导,有生动的例程和老师细心的讲解,可以推测老师一定是花了许多心血经营这门课程。

автор: Zhike C

9 июля 2020 г.

Very well structured course. It really helps building my basic understanding about machine learning

автор: Bai

26 авг. 2019 г.

Good course, which help me understand mathematical foundations about machine learning!

автор: ShaohuaWang

23 июля 2017 г.

Very Very wonderful course of theory about machine Learning, Very useful, thank you.

автор: Yi-Jung L

8 авг. 2019 г.

If the answer and the explanation of the homework are provided, it will be better.

автор: Harry L

2 дек. 2017 г.

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

автор: newman123

26 мая 2018 г.

hope there are more exercises, some problems seem to be too hard to understand...

автор: 王中兴

17 мая 2018 г.

林老师知道怎样把一个什么都不懂的学生教会,让他听懂。从这一点看,老师真的非常用心地在准备。在此对林老师的付出表示由衷的感谢!那句话这么说来着 douxia!

автор: LZU_Ivan

25 мар. 2018 г.

it gives me a different view of ml,it's a really rigorous course. Thanks

автор: Tony C

17 июня 2019 г.

Great introduction for mathematical foundations of machine learning