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Back to Machine Learning: an overview

Learner Reviews & Feedback for Machine Learning: an overview by Politecnico di Milano

4.6
stars
105 ratings

About the Course

The course provides a general overview of the main methods in the machine learning field. Starting from a taxonomy of the different problems that can be solved through machine learning techniques, the course briefly presents some algorithmic solutions, highlighting when they can be successful, but also their limitations. These concepts will be explained through examples and case studies....

Top reviews

CL

Dec 5, 2022

This is an excellent course on Machine learning, very concise and well presented.

RS

Sep 8, 2023

VERY WELL PREPARED,PRESENTED AND INFORMATIVE COURSE PROVIDED BY COURSERA.

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1 - 19 of 19 Reviews for Machine Learning: an overview

By Chee Y L

•

Dec 5, 2022

This is an excellent course on Machine learning, very concise and well presented.

By Raj S

•

Sep 9, 2023

VERY WELL PREPARED,PRESENTED AND INFORMATIVE COURSE PROVIDED BY COURSERA.

By GAJJELA S

•

Oct 8, 2022

nice programming learning app

By Mohammad A A

•

Nov 22, 2023

شكرا stc شكرا coursera

By Truong T S ( H

•

Oct 3, 2024

excellent

By Mariam A ( A

•

Oct 9, 2024

gooooood

By Surya L B ( O - U B

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Oct 8, 2024

good

By NYAVANANDI D

•

Nov 8, 2022

good

By Daniel C M

•

Jun 19, 2023

Excellent overview course. Machine Learning course is challenging. due to the high amount of concepts given in such a short time

By Serg P

•

Aug 8, 2023

condensed, good if you (still?) have good math background or spend some time on (re)education after each session

By Don M P K

•

May 21, 2023

This is course is rudimentary , questions are too easy and do not need to read the content to answer . Also , no point questioning on italian regulations or what happened in Italy .

By Abdal A A

•

Oct 13, 2024

Machine learning involves the development of algorithms that can process and analyze large datasets to identify patterns and make predictions. It is widely used in fields such as oil refinery, where it helps in exploring data, selecting features, and developing models to improve operational efficiency

By Iswar K C

•

Oct 13, 2024

Excellent content

By Talal A Z ( G - O

•

Oct 22, 2024

Good Course

By Mochamed R ( G - O

•

Oct 17, 2024

excellence

By Ahmed D A ( O - T A

•

Oct 13, 2024

excellent

By Mohammad N ( O - B N

•

Nov 21, 2024

Thanks

By Jennifer M B ( D - C B

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Nov 22, 2024

The pace was very fast. I had to slow it down and pause to take notes often as I really wanted to learn what the instructor was saying. Also the pronunciations were difficult to grasp sometimes; I had to use the subtitles for some words.

By Sachin B P ( O - B P

•

Oct 13, 2024

Best basic