Chevron Left
Voltar para 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

Comentários e feedback de alunos de 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations da instituição Universidade Nacional de Taiwan

4.9
estrelas
734 classificações
130 avaliações

Sobre o curso

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。]...

Melhores avaliações

LL

Jun 24, 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.

TT

Mar 04, 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.

Filtrar por:

126 — 126 de {totalReviews} Avaliações para o 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

por Daya_Jin

Jun 11, 2018

完全不推荐!这门课讲的全是 机器学习中的前提与假设,并且很多概念被老师复杂化了,可能老师拐弯抹角的讲某些概念的本意是为了学生更好的理解,但是真的讲得更复杂了。除非对机器学习的发展历史有执念、或者是专门深入研究机器学习的人,否则不推荐这门课,更推荐吴恩达和李宏毅的课。PS:本人专业硕士,方向机器学习,这门课中的很多东西我都用不上! 可能有志于学术方面的学硕或博士用得上。