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Opiniones y comentarios de aprendices correspondientes a 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations por parte de Universidad Nacional de Taiwán

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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。]...

Principales reseñas


23 de jun. de 2018

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.


3 de mar. de 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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151 - 155 de 155 revisiones para 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

por ZhengLiangLiang

24 de dic. de 2017

课上得特别好 但是习题给的提示不够

por Qier W

13 de ago. de 2020

great cours!

por 李瑞平

26 de abr. de 2018



11 de may. de 2020

This course is not as fantastic as it is widely advertised. The material taught is not enough to cope with the difficulty of homework. If you have ample time and support this course would be great, otherwise, it is not very self-contained.

por Ananya A

23 de sep. de 2020

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