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機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations, National Taiwan University

4.9
177 ratings
34 reviews

About this 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 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。]...

Top reviews

By 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.

By 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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34 Reviews

By Yuan Wang

Feb 04, 2019

最佳机器学习入门课程

By ZIAN XU

Feb 04, 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.

By 樊振强

Jan 27, 2019

比起Stanford的,原理解释更清晰些

By 陳約廷

Jan 14, 2019

對兩學分來說 loading 好重OAO

By Yixin Bao

Jan 12, 2019

感谢老师的付出~^^

By QIQING

Dec 11, 2018

课程设计的极好!

确实是基石课,从原理到实践,恰到好处!

感谢!

By Andrew Huang

Dec 09, 2018

深入淺出,一個讚字,唯一美中不足是中文字幕偶爾有錯誤。

By Yijie Qiu

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!

By Jeff

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。

By 蕭敬霖

Sep 14, 2018

A great course