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Avis et commentaires pour d'étudiants pour Calculus and Optimization for Machine Learning par Université HSE

3.9
étoiles
127 évaluations
44 avis

À propos du cours

Hi! Our online course aims to provide necessary background in Calculus sufficient for up-following Data Science courses. Course starts with a 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. This Course is part of HSE University Master of Data Science degree program. Learn more about the admission into the program and how your Coursera work can be leveraged if accepted into the program here https://inlnk.ru/rj64e....

Meilleurs avis

AJ
4 mars 2021

I found the course quite difficult (I have a physics background), but topics are well explained in the lectures and with help from the discussions I succeeded. I have really learned something :)

AN
25 juil. 2020

It was great to deal with this course as it helped me in gaining a much and important details and knowledge behind ML. Thanks a lot!

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26 - 42 sur 42 Avis pour Calculus and Optimization for Machine Learning

par Xiaoyuan C

25 oct. 2020

An excellent course to help refresh the fundamental coverage of calculus needed for machine learning!

par Chathura M P

15 juin 2021

Thank you so much everyone what a wonderful course I cant thank you enough

par Francisco N E

30 oct. 2020

Great introductory course for Fundamentals of Mathematics for Data Science

par Tolibboeva J H Q

17 août 2020

Thanks for this curse, now I can deeply understand maching learning

par Pascal P

24 févr. 2020

Good introduction, effective as a refresher.

par MOHIT

22 juil. 2020

Very Nice Environment and teaching style.

par Jeba S J

9 mars 2021

Great course..!

par VARTIKA P

18 juil. 2020

excellent .

par FAYZULLAYEVA M R Q

30 juil. 2020

good

par K R R

23 juil. 2021

v

par Miguel A G G

10 janv. 2022

About the course, I can say that if it serves as an introduction to the mathematics used in neural networks, such as the importance of calculating the descent of the gradient, which is very important for the Back Propagation algorithm (fundamental basis of deep learning) .

They need to remove pairs work because there are not many people in the course, so the review in pairs takes too long, I waited almost 2 weeks for the final project to be reviewed.

par Julio C D M

11 avr. 2021

Some exercises are very challenging. However, the content is really good.

par SUGAM J

16 juil. 2020

Please try to use a more understandable english accent for teaching.

par SARMAD H

1 sept. 2020

Very nice course

par Colby J

17 janv. 2022

Lecturer was very knowledgeable but subjects were not explained well. For anyone taking this course, I would suggest searching for the video's topic and learning elsewhere first.

par Sidney G

21 oct. 2021

Poor delivery. It was really hard to understand.

par Nicat Q E

4 mai 2020

çox pis