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Вернуться к 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

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

4.9
Оценки: 243
Рецензии: 43

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 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。]...

Лучшие рецензии

HL

Dec 05, 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.

JJ

Oct 03, 2018

很好的课程,更加注重算法的理论推导,当然也不乏运用的技巧。之前看过吴恩达老师的机器学习课程,感觉林老师这门课更加的深入,吴恩达老师的课省去了公式的推导,更偏向工程的实践,两门课可以算是相辅相成的。

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26–43 из 43 отзывов о курсе 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

автор: Chen X

Jan 29, 2018

good, but quiz is not enough.

автор: 闻道暮东

May 25, 2018

good job 希望技法的课也能开呀。

автор: 粘耕毓

Mar 10, 2018

gj

автор: Ryan

Apr 15, 2018

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

автор: huixiaoba

Feb 24, 2018

林老师讲的很好,让我对机器学习有了更加深入的了解。谢谢

автор: Yen, Y

Aug 27, 2018

Best ML course I have ever taken!

автор: Yijie Q

Nov 26, 2018

最早知道林老师的机器学习基石和技法课程,还是Coursera改版之前的事。当时还在上学,挑选着章节,把林老师的讲解作为课堂内容的补充理解来听,当时就觉得林老师讲的特别棒,课堂上迷迷糊糊的内容来这里听一遍就好很多。现在工作了,终于能抽出时间来把整个课程完整的跟下来,仍然觉得受益匪浅。真的非常感谢林老师能够制作出这样用心的的课程,放在网上与大家分享,也感谢您和TA们从过去到现在一直关注着讨论区的动态,为大家答疑。谢谢!

автор: 蕭敬霖

Sep 14, 2018

A great course

автор: Garfield

Jun 19, 2019

amazing! Great course! thanks a lot!

автор: 陈千奔

May 18, 2019

good!!!!!

автор: Sui X

Jun 01, 2019

good

автор: Yu C L

Jul 21, 2019

非常棒的一堂課程! 感謝林老師!

автор: LogicHacker

Aug 24, 2019

excellent!

автор: JianHan F

Oct 08, 2019

谢谢老师!!!

автор: 樊振强

Jan 27, 2019

比起Stanford的,原理解释更清晰些

автор: Minglu Z

Sep 11, 2018

内容相对上部要容易,涉及到的算法比较基本。

автор: Daya_Jin

Jul 02, 2018

真心不如吴恩达那个课,不知道为什么知乎上好多人推这门课