Course is really taking a practical approach towards machine learning, with theory and practical classes side by side. Thanks to Course era and University of Washington for providing a wonderful opportunity.

This course will provide a deep and elaborated knowledge about basics of machine learning and deep learning. Both the instructor Emily And Carlos are very good they cover each and every point of discussion.

Such an amazing course.

It opens all the uncovered secrets behind Machine Learning .

With best mentors and enough practice i had gain thorough knowledge and interest toward Machine Learning.

Above Expectation.

I am progressing forward on my learning journey. I consider myself fortunate to have found this course, providing me with the opportunity to apply new knowledge and delve deeper into real-world use cases!!

Amazing course by Carlos Guestrin and Emily Fox both have the deep knowledge of their domain and more over they also have the skills of how to teach. Love you both Carlos Guestrin (Sir) and Emily Fox (Mam)

I had to use TuriCreate instead of GraphLab, so other than the changes in the libraries that had me guessing which function to use, everything in this course is well structured and concrete. Thank you all!

Actually, this course is the best introduction for machine learning for me .

it gives me a outline of machine learning structure . thankful , and i will continue learn other courses in this whole course .

Great course giving an overview helping get a sense how machine learning is applied. Material is delivered well and concisely. Like the data sets used for examples, because they are interesting to explore.

A real breathtaking great course about the basics of machine learning with very concise materials. Unfortunately died after four parts. I'am hoping for resurrection with a part 5 and 6.

Thank you very much.

Great course for understanding introductory principles of the different areas of Machine Learning. The classes are very well taught and the exercises are very interesting. Highly recommended for beginners!

I really enjoyed the foundations course. It did exactly as I expected - it gave a great overview of machine learning concepts to prepare for the upcoming in-depth modules. Emily and Carlos were fantastic!

Very good approach. Let students hands on and play with ML model first, before jumping into details. In real life, understanding use cases is really important before investigating more time into theories.

Very good foundations course for beginners.....might be a little too basic for people who have experience in ML, but nonetheless good for refreshing your knowledge. Absolutely love the sue case approach.

The course provides a good overview of different ML approaches - Regression, Classification, Clustering, Neural Networks. The approach of using exercises to answer quiz helps in practicing the concepts.

I really liked the case study approach. It starts from real life examples and shows you how simple it is to make your own models and predictions which really lures you into the machine learning concept.

A good course for getting a rough idea of what machine learning is, and what its applications are.

The course provides the basic knowledge for the specialization course. Overall I enjoyed it thoroughly.

Great curse for anyone wanting a high level over view of machine learning. Had good mix of tutorials and quiz as well as homework. The faculty were very good and kept up the interest with some good hum

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!