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学生对 国立高等经济大学 提供的 Calculus and Optimization for Machine Learning 的评价和反馈

4.4
27 个评分
4 条评论

课程概述

Hi! Our course aims to provide necessary background in Calculus sufficient for up-following Data Science courses. Course starts with basic introduction to concepts concerning functional mappings. Later students are assumed to study limits (in case of sequences, single- and multivariate functions), differentiability (once again starting from single variable up to multiple cases), integration, thus sequentially building up a base for the basic optimisation. To provide an understanding of the practical skills set being taught, the course introduces the final programming project considering the usage of optimisation routine in machine learning. Additional materials provided during the course include interactive plots in GeoGebra environment used during lectures, bonus reading materials with more general methods and more complicated basis for discussed themes....
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1 - Calculus and Optimization for Machine Learning 的 4 个评论(共 4 个)

创建者 Francesco R

Feb 22, 2020

Atrocious experience with the answers parser in the mandatory quizzes.

创建者 wonseok k

Mar 23, 2020

good course and lecturer.

it is nightmarish that there are no more his courses currently.I'll be waiting for his new courses.

good contents.

but somewhat challenging(especially for last programming assignment)

good peers(hints from forum is not a direct answer but very useful)

创建者 Pascal P

Feb 24, 2020

Good introduction, effective as a refresher.

创建者 Roger S

Feb 16, 2020

I am sorry to point this out but this is course is my most frustrating Coursera expierience until now. The content is quite high level and requires a quite solid mathematical background. Unfortunately the lecturer's language and presentation capabilities are so poor that I found it really hard and sometimes impossible to follow the content.