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。]
Offered By
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
National Taiwan UniversityAbout this Course
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Shareable Certificate
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Beginner Level
Approx. 10 hours to complete
Chinese (Traditional)
Skills you will gain
- Decision Stump
- Perceptron
- Machine Learning
- Vc Dimension
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.
Beginner Level
Approx. 10 hours to complete
Chinese (Traditional)
Offered by
Syllabus - What you will learn from this course
2 hours to complete
第一講:The Learning Problem
2 hours to complete
5 videos (Total 70 min), 5 readings
1 hour to complete
第二講:Learning to Answer Yes/No
1 hour to complete
4 videos (Total 61 min)
1 hour to complete
第三講:Types of Learning
1 hour to complete
4 videos (Total 61 min)
1 hour to complete
第四講:Feasibility of Learning
1 hour to complete
4 videos (Total 60 min)
Reviews
- 5 stars92.63%
- 4 stars6.02%
- 3 stars0.55%
- 2 stars0.44%
- 1 star0.33%
TOP REVIEWS FROM 機器學習基石上 (MACHINE LEARNING FOUNDATIONS)---MATHEMATICAL FOUNDATIONS
by JGAug 17, 2017
許多名詞似乎是自創新詞,但都能很好地描述ML的理論
課程的統計很吃重,難度的分配有些不均勻
整體來說是非常適合有數學底子學生的扎實入門課程
by DAApr 25, 2020
Really theoretical and challenging for somebody with little math like me. But very interesting to learn! Looking forward to the 2nd part.
by HLDec 1, 2017
This is a very nice courses. But I think the test is super hard for some students.
by TTMar 3, 2018
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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