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。]
機器學習基石上 (Machine Learning Foundations)---Mathematical FoundationsUniversité nationale de Taïwan
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Université nationale de Taïwan
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- 5 stars92,88 %
- 4 stars5,96 %
- 3 stars0,57 %
- 2 stars0,22 %
- 1 star0,34 %
Meilleurs avis pour 機器學習基石上 (MACHINE LEARNING FOUNDATIONS)---MATHEMATICAL FOUNDATIONS
Lin is a very funny teacher.The course is really valuable.i will recap this course many times.thanks teacher lin again.thks
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.
The speaker explains the ML in very clear and easier to understand way. I believe everyone can understand if he/she follow the course.
Theoretically explained why machine learning is feasible. The content is a little bit hard to understand.
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