Very much interesting and deep. Gives hands on experience with real life examples and with basic knowledge. I would definetly recommand this course to new learner.

I really enjoyed the material. I think the course should focus more on open source tools. Some of the quizzes are rather badly worded and could use some retooling.

The course is great, you do learn a lot of the general concepts. I wish they would use general python packages instead of graphlab, but this is not a deal breaker.

The course was taught well, however I thought there could have been a few more videos with more details. Although I understand that it's really an overview course.

Really interesting course that gives a great introduction to Machine Learning. Might be a little too much for someone with no programming or statistics experience.

Libraries are old and no support . Though I somehow worked it out.

But man explanations are so good and the professors are nice too.I like how they make us laugh .

Really good introductory course. Sadly the code in the video is not up to date and there are points were the questions are quite vaguely formulated in the quizes.

The course is great for beginners, I would have appreciated a more detailed explanation of statistical models used rather than using readymade graphlab functions.

Good for the beginners to learn Machine Learning and Neural Networks in detail. This course also includes hands on sessions/ assignments which helps in learning.

Many basic ML concepts were touched upon - the assignments, especially in Parts 1-4 were very easy and required very little brainstorming :) - hence a star less.

The course is very comprehensible, even for not so technical people. The materials are good and the lecturers are able to explain complex concepts to everyone.

This course has provided a very good insight of what are the tools that are applied in machine learning and how fast they are from the already existing tools.

Good introductory course, some videos require more than one time to review them and even doing external research on the topics to understand well the concepts

The lectures are substantive, although they tend to be too short in duration. The python application component is very applicable to work-related situations.

Excellent course, very charming professors, accessible even for people with limited math/coding backgrounds. Some course material needs to be updated, though.

The course was wonderful. Had a great time learning with doing hands-on on real-time data. But there could have been a more detailed algorithm's explanation.

The fundamentals of coding and machine learning concepts are taught in such a way that even a person with no background in computer science can grasp easily.

really interesting and helpful to fresh, however it's little bit easy for who have learned something about machine learning and the experiments are too easy.

Provides a good very basic but broad view of the subject. Lectures are really good, but lacks written material and programming assignments are way too basic.

Very interesting course as the start of something that will get more and more interesting. I am happy that I got this specialization and not only the course.

I found here all I need for first step in ML. Thank you. But Assignment you should make different. I mean varied tasks but not the same for each new attempt.

Everything is perfect except the library used which is turicreate is not as per current industry requirements, instead Pandas and Scikit learn can be used

Great course. Really loved the content. But would have been better if they would have released the last two courses. Basically a finishing touch is missing.

The course is a very good introduction to the specialization. It'd have been better if the course used an open source tool instead of a proprietary product.

A different version of graphlab was used without I think being duly noted, some functions work differently in newer versions. For the rest it was very good.