The course touches upon all the necessary fundamentals of machine learning in the best way possible -- through case studies. One gets a hang of the ipython notebook and graphlab create environment too.

Great course to get an overall view and some hands-on experience for Machine learning. Thoroughly enjoyed working the course. The videos are short and concise, making the learning experience enjoyable.

Liked the approach to use case studies to explain Machine Learning and the many algorithms. Brought the otherwise complex subject to life. The hands-on exercise were very useful to consolidate learning

I really enjoyed this course. Even if it is only about foundations I feel I understand ML better and I knew almost nothing about it in the beggining. Thank you for your work to give as such courses :D

definitely 5 stars. I would like to say this course is much more closer to the beginner (including myself) who may not have sufficient concepts and experiences on the machine learning, linear algebra.

This was good introductory course with challenging programming assignments that expanded and grounded the lecture materials. The forums also proved great support when needed, overall very satisfied.

A very balanced first course that introduces machine learning in a very practical and simple way. I would recommend highly this course to anyone who plans to learn machine learning through practice.

Excellent course, with really good lectures, material and assignment. Plus the professors are really amazing and their enthusiasm is really refreshing and makes the class more interesting. Loved it!

very nice course.If you have basic knowledge of python datastructure then this course is best to start data science.All contents are beginner friendly which makes this course easily understandable.

The course module is very clear and very useful for me to understand the ML concepts.

Really excited about more features in the C_Stone project where i think we can do something for my organisation.

I felt this course did a good job introducing the student to Machine Learning. The examples and hands on assignments brought the concepts home. I was able to use the knowledge immediately at work.

This course is very helpful for people who are novice in machine learning. The course uses Graphlab Create which is different from scikit or R-libraries, but the tool(Graphlab) is excellent to use.

This course foundation for those who want to do specialization in Machine Learning. It's really very useful course, I recommend do this course If you want to do specialization in Machine Learning.

One of the best courses available online. Actually got to know how to apply theoretical knowledge in designing systems. You people are the best and made concepts and things really easy. Hats off!!

Really liked the course and the teachers. Would have preferred more detail on the quizzes so I didn't feel as lost as I did some of the times while trying to piece together what a question meant.

I'm very thankful to coursera. It's provide a cost of free certification of machine learning which cost in market is approximately 3000rs.i think coursera is a good platform. Thank you coursera.

really like the instructor and the course. it was very hands on specially for me who is coming from Bigdata (python and hadoop) background . thanks for this cool and amazing learning opportunity

The course Content is very good and also the instructors .graphLab tool is also good toolI wish there was a hint for scikitlearn but it is a good course for beginners and i Recommend it for all

R​eally enjoyed all the material presented by the professors! They're enthusiasm for machine learning is contagious. I would highly recommend this course as an entry-point to machine-learning.

Excellent course! I like Emily and Carlos' approach to delivering online courses and the content and structure of this specialisation. I would definitely recommend this course to my friends.

Great survey course for main topics in machine learning without going too much into detail. The professors do a great job of keeping the topics relevant to modern-day uses of machine learning.

It's very important to attend this course to understand basics of ML and how we can approach further.

It's really helpful for me to understand and go ahead on deep dive into the ML techniques.

Excellent foundation course on ML, Enhanced the wish to learn detailed topics in ML, very attractive methods by Instructors, Thanks for creating thirst and encourageuing to learn more on ML

Love how the modules are broken down into small segments of 3-5 minutes on an average. Makes it easier and definitely not monotonous as compare to other courses. The professors are amazing!

The top-down approach of this course is the best way to understand concepts and view solutions for real-world applications. This way I can go deeper after understanding why I am doing this.