AM
Jul 1, 2021
I'm thankful to Duke University and Coursera for introducing me to the world of Machine Learning. Instructors explained as much as possible , that too in easiest way.My gratitude ...Aniruddha.India.
KS
Aug 4, 2020
I felt that I took the best descition in taking this course, because the professors took this course with atmost clarity and made even the difficult concepts understand easily.Thank you Professors
By Oleksii Y
•May 18, 2024
I rate the course after "2 weeks' finished. The course is strictly theoretical, but it doesn't give you enough infomation on a subject. You can gain the same knowledge from YouTube and it will be even faster. I don't know why would somebody pay for the course. But, the course is better than Netflix, so it could be a great thing to watch while eating your meal.
By May R A M ( O - I A M
•Feb 4, 2025
it required wide knowledge / skills background in Machine learning + Python, and i just have very basic awareness level, and i believe this course is not consider as "Introduction" !
By Chakshu .
•Mar 26, 2023
Although the teachings of machine learning are introduction. A learner needs to know moderate level of python and pytorch to continue the course fluently.
By Liona L
•Oct 28, 2021
The concept is taught ok, but it's not great on hands-on learning.
By Ben S
•Aug 10, 2025
Starts off well, but becomes terrible by module 4. The material is wrongly labelled (e.g. a section on sentiment analysis that does no such thing), the code in the labs is outdated and uses software that no longer works, and the lab assignment is much more complex than anything that has gone before, with nothing in the lectures to help with that. This would not be so bad if anyone were monitoring the forums to add a little help here and there, but no - complete silence from Duke University as the many paying participants struggle and end up dropping out unassisted.
By Jose V A S
•Nov 6, 2021
muy poco ejemplos prácticos que se puedan seguir la momento de la explicación, hablan de una manera muy general pero no no dan ejemplos explícitos de su uso. no muestran como se transforma una palabra en un vector, el único ejemplo con el que se logra entender lo que esta realizando es el ejemplo inicial de los triángulos desplazándose sobre los filtros y las imágenes, en el resto de temática nunca aterrizan sus ejemplos
By Giorgi T
•Jul 8, 2021
Very poor and low quality explanations.. lecturer starts the very first video mentioning about neural networks, convolutional networks, deep learning.. etc.. dropping a huge number of buzzwords and just following the script of the lecture, without realising, that he hasn't even said: WHAT EXACTLY Machine Learning is..
Very vague and obscure.
Not recommended.
By Deleted A
•Apr 19, 2021
Question 1 Quiz 1: Why is machine learning exciting? Really? Glad that's a free demo course, otherwise would've been a waste
Can't speed up the video. Speaker's too slow
By Divyen M B
•Apr 19, 2021
Do not like how I cannot unenroll myself even if I see how this course is something I am not being able to manage.
By Shivani J
•Apr 27, 2021
I dont have the requird skills for the course and now I am unable to unenroll from the course.
By Mike C
•Apr 30, 2021
Very advanced for an introductory course in my opinion
By Abdul N B
•Apr 20, 2021
Please cancel this course. I want to opt out of it
By Julie M
•Jun 24, 2025
too difficult
By Muhammad A D I M
•Mar 23, 2020
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By Bhabatosh S
•May 7, 2025
Ppp