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.

The instructors are very professional, straight-to-the-point, and they have a nice sense of humor :)

which made the course much more interesting. Definitely recommended!

I really like this course. I've learned basics of ML. I've really enjoyed the presentation style. The practical part was great. I am looking forward to the next course.

Clear and fun instruction. The course gave relevant and tangible examples of machine learning in practice and the coding was very managable for a non-systems engineer.

Great introduction to Machine Learning and the different ML methods. Assignments were not mean to be hard, but practical, which I appreciate. Great instructors as well!

This is a fantastic course. The concepts are explained so well and are followed by hands-on which helps a lot. Case Study approach really is working well in this case.

Great presentation of the topic and fitting complexity / depth for an introduction.

Way better then all the other courses i tried before. Great instructors and concept!

This is a nice introduction to the concepts that will be covered in the specialization and the power of the provided GraphLab Create ML toolbox. I highly recommend it.

This is a really good intro course. It's not pitched at a terribly high level of difficult, but it does give you a fair amount of practice. I'm really pleased with it.

Very informative in basics of Machine Learning. It sets the stage for a deep dive into the topics of machine learning like Regression, Classification, Clustering etc.

This course is really useful, as a overview of the whole specialization. The quiz for theory and python implementation strengthen the key points for each module/week.

A perfect introduction to ML. Couldn't ask for more. 6 weeks of coverage is neither shallow nor too deep. Sets up the stage nicely for a deeper dive in next sessions.

Great course to begin your journey into ML

Briefly introduces each topic to give a jist about it and also provides a good starting point for using python in ML context

In a couple of Case Studies it gives you a wide idea about the almost unlimited potential of Machine Learning while it encourages you to learn more and more about it.

it was really amazing to learn from these mentors. They were really humble, clear and had an interesting way to teach. I would love to attend more of them in future.

This course gives a really easy but clear concept for machine learning with examples! I hope I can learn something further with other courses in this specialization.

Fantastic course, great 'learn-by-doing' introduction to ML, really entertaining teachers kept me alert throughout each session. It was great fun and I learnt a ton!

The course is very well structured, interesting lectures with real-life applications, and the programming examples and assignments were very useful and instructive.

A great foundational introduction to Machine learning concepts. Ideal for people that have some background in maths and programming but no career in this direction.

This is a brilliant stepping stone for Machine Learning world. Basics are being discussed and explained in a very simple manner. thanks to the teachers and Coursera

Fantastic overview of various machine learning methods. Very interesting way of exposing concepts using case study approach which makes it more engaging and useful.

This course is a wonderfull introduction to the Machine Learning. It provides a good start point which is very helpful with the other courses of the specialization.

Best course in data science out there. Believe me, I did all 4 other Specialization, some of then very good, some of then no quite si, but this one is far the best.

A great introduction. Good relevant examples and thoughtful data sets were provided for the exercises. Both lecturers were engaging and clearly knew their subjects.

The course is easy and good for beginners. Specifically, case study approach is quite good and furthermore hands on practice assignments greatly improves learning.