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Calculus and Optimization for Machine Learning に戻る

ロシア国立研究大学経済高等学院(National Research University Higher School of Economics) による Calculus and Optimization for Machine Learning の受講者のレビューおよびフィードバック



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....



Calculus and Optimization for Machine Learning: 1 - 9 / 9 レビュー

by Francesco R

Feb 22, 2020

Atrocious experience with the answers parser in the mandatory quizzes.

by Noel L

Apr 11, 2020

Informative but approach employed to teach material was somewhat abstract.

by 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.

by k v r

Apr 12, 2020

very poor presentation

by 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)

by Cristian B

May 11, 2020

A really good course for refreshing basic math and understanding the reason why Gradient Descent is used

by Pascal P

Feb 24, 2020

Good introduction, effective as a refresher.

by Enrique G F

May 04, 2020

Many of the subjects were not presented as clear as some of the subjects, in other courses for the same specialization

by Nicat Q E

May 04, 2020

çox pis