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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Principales reseñas
LL
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.
TT
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.
126 - 150 de 155 revisiones para 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
por kkopitehong
•25 de ago. de 2018
有点过于理论呀
por fengyin l
•18 de ene. de 2022
Great!
por Sheng-Siang H
•25 de abr. de 2018
Great!
por 王阳
•5 de feb. de 2018
great!
por 海阔心
•27 de dic. de 2017
好棒的课程！
por chun
•15 de ago. de 2017
课程逻辑严密
por WANG J
•17 de may. de 2018
非常细致！
por 廣翰 陳
•18 de abr. de 2018
Good!
por lishuang
•10 de mar. de 2018
good！
por 王磊
•3 de mar. de 2018
课程听好的
por Jian M
•7 de mar. de 2021
g
o
o
d
por Sui X
•31 de may. de 2019
good
por Yu C L
•30 de mar. de 2018
good
por 仙 麒
•24 de oct. de 2017
good
por Yusen W
•1 de ago. de 2019
有点难
por 黃宇瑍
•13 de abr. de 2020
讚讚
por ZIAN X
•13 de ene. de 2019
Instructions were clear and good. I might just need to review it more times, but the first time I did feel that sometimes we've gone way into the weeds with the math and I lost the big picture - why are we looking at this equation to begin with? Maybe what would be beneficial is to have a concrete example that threads through the entire class and refer back to it to illustrate why we care about certain properties.
por ziqin l
•26 de ago. de 2020
林老师这部分课程内容偏理论，对数理基础有一定的要求。每次作业题需要认真思考，作业后面的编程部分也能锻炼实践能力，进一步巩固所学习的理论知识。总体来说质量不错，不过希望老师以后能以后对课件里面的问题进行总结的时候可以不用太story-like，或者说更简练一点，我认为这样可以有助于学习暂停视频并好好理解。
por Deleted A
•26 de abr. de 2020
Really theoretical and challenging for somebody with little math like me. But very interesting to learn! Looking forward to the 2nd part.
por Jiazhi G
•18 de ago. de 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
por Boyang W
•6 de ago. de 2017
林老师讲课很好，但是希望老师在讲到一些比较容易混淆的概念的时候，可以举一些例子帮助我们加深理解。
por Gao C
•3 de ene. de 2018
课程不错，不过很多章节需要多看两遍才能清楚理解
por Jackson P
•8 de jun. de 2019
理論較深，也和其他機器學習課程起點不太一樣
por alexhanbing
•29 de ago. de 2018
VC等在当前的指导意义不是很大，整体不错
por 黄鑫荣
•11 de oct. de 2018
问题的切入点怪怪的，不如吴恩达的易懂
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