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。]
Offered By
機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations
National Taiwan UniversityAbout this Course
6,690 recent views
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Intermediate Level
Approx. 9 hours to complete
Chinese (Traditional)
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Intermediate Level
Approx. 9 hours to complete
Chinese (Traditional)
Offered by
Syllabus - What you will learn from this course
2 hours to complete
第九講: Linear Regression
2 hours to complete
4 videos (Total 62 min), 4 readings
1 hour to complete
第十講: Logistic Regression
1 hour to complete
4 videos (Total 65 min)
1 hour to complete
第十一講: Linear Models for Classification
1 hour to complete
4 videos (Total 59 min)
1 hour to complete
第十二講: Nonlinear Transformation
1 hour to complete
4 videos (Total 59 min)
Reviews
- 5 stars93.98%
- 4 stars4.74%
- 3 stars0.63%
- 2 stars0.31%
- 1 star0.31%
TOP REVIEWS FROM 機器學習基石下 (MACHINE LEARNING FOUNDATIONS)---ALGORITHMIC FOUNDATIONS
by HLDec 4, 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 KJOct 26, 2021
The course is moderately difficult and challenging
by GGAug 12, 2020
I learned machine learning theory from this course. This is very useful.
by JJOct 2, 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。
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I purchase the Certificate?
Is financial aid available?
More questions? Visit the Learner Help Center.