Love the case study based approach where we solve for a particular problem as compared to just learning the techniques and wondering where to implement it.

one of the best courses, I saw in coursera so far. everything is well prepared/organized. The only issue is that the software is a little bit out of date.

Good lesson which is focus on practical coding.It's better to learn incorporation with other lessons more algorithmic,may makes much better comprehension.

This was a fantastic course. Just enough to get your feet wet and more. A great overview of the real use cases for now and the future of machine learning.

Fresh approach towards ML. Grpahlab makes coding very easy. Deep learning explained in a very easy way to understand. Waiting for other sessions to start.

This course is very clear and gives an intuitive idea of what is machine learning. It is also very practical with python implementations for each chapter.

it's very good and very easy to understand what this course tell us about, very pleasure and happy that i can learn from coursera. thank you coursera! <3

Very good overview of ML.Emily and Carlos teach this class in a very interest way. They try to let student understand machine learning by some case study

It nice to learn this course.I want to suggest regarding installation there should guide(Video form) regarding setting up tool for this course.Thank you.

Great course. It really helped me understand machine learning and it give me new ideas about deep learning and how to use it even when you have few data.

This is a fantastic introductory course on Machine Learning, I really enjoyed working on it. The course has a great balance between theory and practice.

Love the structure for this course. Having a Case Study approach makes it easy to connect the abstract concepts and apply them to real worked use cases.

Overall a good Introduction to Machine Learning Course. Gives overview of all the major ML models and motivates the learner with real world applications.

The teaching method "Using Case Study Approach" is Simply Awesome. All concepts cleared and the test was very much helpful to clear the remaining doubts

Great class, definitely worth taking. I have worked on Machine Learning in the past and it helped me greatly. I am looking forward to all the courses.

I passed lots of Coursera courses, but this one is best of the best) Teachers - Carlos and Emily are magnificent, amazing lectors) I'm really impressed.

Not only I have learned the basis about machine learning thanks to this course, but also improved my skills in python programing for machine learning !

Really Nice and good to start with. All words are positive. How much Positive is my rating now? Shall we asses it with the Classification approach? :-)

The course offers a great practical approach using sophisticated software. As a participant, I gain valuable knowledge on a wide range of applications.

A great introduction to the corresponding specialization with amazing professors that know their subject and find a creative and fun way for teaching.

the was very good start in this career -machine leaning - and the instructors were very clear which made me face no problems going on in this course.

In this course, a basic introduction to different machine learning concepts are provided with ease of understanding to those who are new in the field.

Fabulous Course!!! The case study approach is very effective, since it embeds the concept by applying the learned material in building an application.

It's a very good front-door for machine learning learner, especially for the fresh hand. I am looking forward for the further studying in this course.

Incredible course. I'm also a USP student and I do believe that this kind of class is the future of teaching. Thanks for the knowledge, Samuel Santos