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.

the course is exciting for someone who wants to have a global idea of Machine learning it doesn't get deeper into the mathematical expressions of machine learning algorithm but it gives a good explanation

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.

Very nice course that allows you to understand the ML and AI, how they work and what's the rol that we, the humans, have in all this new schema of living. Congratulations Marcos you did a very good job

It's a beginner course but they should introduce python programming or something like that can give direction to a student that how to get into the real programming of the machine leaning.

Good overview of machine learning, its fundamentals and there are some hands-on exercises to do. Overall useful course for anyone who wants to know about machine learning =

this course is great for the beginners ,even for non-computer-science background people. it was good time to spent on learning and understanding machine learning better...

Course is very good and very informative..but adding some more data along with that would be awesome.

Like, about detailed description of supervised and unsupervised, etc.

it was a great course, and the instructor is amazing, although it is not my specialty, but now I have some knowledge about how AI operates.

This machine learning course is overall a good course for the students who have keen interest in learning the machine learning module.

great course to get introduced to ML - a first glimpse of how underlyng technology works but also emphasizing the importance of data.

its really awesome after learning about ML via this course gives me a clear cut idea in ML and enhance me to create a model in ML

I found the course enjoyable and learned quite a bit. The professor was knowledgeable and entertaining. I recommend this course.

This course is for who all are want to enter into the computer science field, anyone can learn this course for basic knowledge

was bit difficult at the time because of the peer graded assignments but still I have completed it thats wt I have go to say.

It was a nice beginner course for beginners. The professors taught me a new look for Machine Learning. Thanks for the course

A very good n interesting course for beginners and a very vast knowledge about the respective courses with more information.

It is basic course helpfull in understanding about machine learning. If you are aware of basic this course is not recomended

Anyone who don't even know about Machine learning also can apply for this course. They are teaching from the basics of ML .

it was a helpful course I would like to have more hands-on and if we learn how to code and train the model from scratch

its very well planned course . it will be much more effective if some algorithms at the background also be demonstrated