Great Introduction to machine learning. Found the Turi APIs and iPython Notebook approach very effective in getting acquainted to machine learning algorithms.

Really good explanations of the topic with practical examples and implementations. Its like a quick recap of important concepts in ML. I would recommend this.

Great introduction to get familiar with the different concepts of machine learning especially when you have no ML background at all. Surely recommended by me.

Excellent course. Helpful to start learning Machine Learning courses. As the course is practical oriented, helps to learn many python libraries used for MI.

Excellent approach to get started with Machine Learning, good teachers that make entertaining to follow the lessons, thanks for the good work you put in it!

Very nice way of teaching such a difficult subject. I like both the instructors. Assignments are bit easy though and must have been on open source software.

Very approachable method that gets more in depth at a good pace. The later courses in the specialization dive deeper and get into the more complicated math.

Very well organized and very interesting. Increasing the levels of curiosity and enjoyed the course to full extent. Thank you for offering the Great Course.

Very good introduction to machine learning, along with some required python basics, good to pickup by any person, even without computer science background.

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 The only issue is that the software is a little bit out of date.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.