Best course to get start with ML as it has lot of real world example to get your hand dirty, which will help us to develop approach 'how to solve real world problem using ML '

The course did a good job of balancing depth with breadth. It's a well rounded course that provides a a student with enough information to tackle intermediate-advanced topics.

Very best initial level course that will introduce anyone to one of the modern ml tools and its usage, with a bit of needed theoretical science (its only an approach aint it?)

This is a very well designed course to build the Machine Learning Foundations for any level. And also its a perfect segway to remaining detailed courses of the Specialization

Enhance my knowledge in ML and skilled me to do best Research in my MS Study, Thanks to COURSERA and University of Washington to give financial aid to learn Machine Learning.

Hey This is Excellent course for beginners. The homework assignments are designed to grasp concepts easily and in most practical way possible. Thanks for such a great course.

Very interesting, useful, and up to date, this course gives the main ideas with clarity, and relevant applications, in a time format that is feasible for an active engineer.

Course combines Real Word Applications with simple implementation via IPython Notebooks. Professors

know their stuff but are super chill. Pretty good assignments and quizzes.

Great way to warm up the class. Seeing how the various techniques and best practices should/can be used was very helpful in warming up for the more densely focused classes.

This is a great intro to a range of topics in machine learning. I do recommend pursuing the entire specialization since this course only scratches the surface of each topic.

great course. This covers all types of machine learning techniques deep enough to get a basic idea how things work. Enjoyed a lot. Instructors are really fun to learn from.

Loving it so far! Can't wait for the other courses. The case study approach is spot on! This is the first coursera course that is worth something! Kudos to the instructors.

Nice overview to ease into all the content!, Only bad this is they use sframe :( either make it opensource and in the mainstream use or provide the assignments in sklearn!

A very informative beginners cource which offers a macro view of different approaches to MachineLearning and prepaes the student for further study in each different areas.

Great for a start.

Still has some issues for those who use sklearn and pandas.

Also I'd prefer to see more detailed info on neural networks instead of deep learning module.

E​xcellent course that spans the broad ML domain. Unfortunately it appears that the specialization ends sooner than what was planned, but remains quite good nevertheless.

They have used graphlab instead of using standard library. But overall good course.

If the student can submit quiz question without enrolling then it would be a big plus.

The instructors were fantastic, the material was understandable, and the reach I have beyond this course is still expanding. Thank you for a wonderful learning experience

I found this course as a great introduction to the world of machine learning with a very practical approach.

I'm waiting forward to the next courses in the specialization.

I loved this course! It is really well done, that you have a theory part and a practical "case study" part, were you can follow along with the provided IPython Notebooks.

An excellent course to get introduced to the field of Machine Learning. Amazing professors! And actually putting the knowledge into practice with Python was a big bonus.

This course is designed in a very planned way. It gives you a bird's eye view of the ML world without boggling down you with too much technicalities. Highly recommended.

A good theory and practical based overview of major machine learning tasks. Hands-on practice using GraphLab Create makes it one of the best courses in Machine Learning.

An immaculate course to get your basics and facts right to get a head start in ML.The mentors did their part well. I strongly recommend the vert course to the aspirants

Very good theory and practical approach. However, some of the assignments are not very clear while explaining the questions due to which sometimes we get wrong results.