nice

hey

Nil

No

OK

no

5

5

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I

I think this course was awesome. For someone who knew absolutely nothing about machine learning, this gave me the background to understand how computers work with machine learning and where they are used in our everyday lives. The reason I give this course a 4 instead of a 5 is because this course makes you want to continue to do machine learning, but does not give you recommendations on how to do so. Although there are further resources to learn about machine learning which is GREAT, there is no clear direction on how to do it on your own computer or how to download software that could do machine learning. If this was improved, I would recommend this course to the highest degree for everyone.

Excellent course, well understandable also for not English mother tongues, with clear explanations of the pros and the possible cons of Machine Learning and in general of AI.

Maybe some explanations on the hw/sw requirements for using the ML plugin would help: I had some problems with the exercises (my company pc is too armoured to let the ML plugin run), until I managed to login and run on an iMac of my own, where the power of the ML gave an impressive proof, although I made an extremely reduced dataset (a pity that the ML plugin only allows for 3 classes and cannot be embedded in some applications, it would be a real help in classifying!).

Well done, anyway!

This course is very easy and it explains what is machine learning, it's applications and also its disadvantages. We can get a clear idea about image recognition but this course is not suitable for those who wanted to create their own models because here they don't teach us about how to create a model or programming associated with it.

The professor, his presentation, language, subject knowledge everything is awesome. Content could be extended in such a way that students will learn a classifier other than image classifiers. The interview section is a good idea. By the way, I got a strong base on machine learning. Thank you, professor, Thank you Coursera.

First of all thank you Marco Gillies, for making basic understanding about machine learning. I entered this course with little knowledge, but after completed this course it gave me some understanding regarding the what are features, what data we have to chose, where you do mistakes etc.

It is a superb course for beginners or just anybody who wants to get a simple idea of what machine learning actually is or does. Those coming from any background can take this course. I am so satisfied in the path the course took me through and so glad I chose to enroll! ^_^

I would like to had the opportunity to talk about my questions and ideas with the tutor at least one time. This was good course but its still missing the human element.Also, writing comments to other students does not work at all as no-one is really monitoring the answers.

A well tailored course to suit students from various field of education. It explains the importance why non technical people need to understand a how humans can contribute towards making a better society with training robots in a more ethical an moral way.

A nice first step toward machine learning. The contents are not that intense, but pretty OK to me. Learners can progress at their own pace; otherwise, with a little more effort, they can probably finish this 4-week course within two weeks.

It is a good introduction for absolute beginners (as the title says), but I miss the details and the implementation of the Machine Learning Algorithms and the Theory behind it, but this was not the focus of this course.

Sir machine learning very helpful for me lerned so many things but my question is I complete the course but I didn't get certificate I enrolld free certificate course but it asking payment what I made mistake

This course is very much helpful for the beginners of machine learning. It helped me very much to learn the basics of machine learning and it is very useful for doing the advanced courses of machine learning.

As a first introduction to Machine Learning, it works pretty good. However I would've liked to have more practical exersices where we need to programm/codify our own clasiffier instead of using a plugin.