Course is pretty well designed, I like how practical it is and the case study approach. It's a great introduction course to ML. One suggestion I have is to make it easier to use Sklearn and panda which are more popular in industry

First of all - you are both excellent teachers and concepts were very well explained at this foundation level. My only doubt was how current the content is given that ML and AI are evolving so much everyday. Otherwise - great job!

The course its a pretty good introduction to machine learning, we explored different technics, models and alghoritms. Im very pleased of what I learned in this course. 4 Stars because some explications needs a little more detail.

Could have explained a little more about what we were doing for some of the modules. For example, in week 6, I didn't really understand the 'deep_features' column or how the values for that column were generated for each picture.

I have just completed the course.I have got an overview of how machine learning works.What I felt is that the course is a very good one for the beginners in ML.

PS: Increase the toughness and level of the questions in the quiz

Awesome module, but the Deep Learning course should be redone in my honest opinion. The explanation for it is on way too high of a level compared to the other courses within this module and way too bogged down in the details.

It is a very awesome course but I am giving it a 4 star because I enrolled in it, without knowing that it is using Turicreate and teaching graphlab but in real life, there is barely any company which uses these two libraries

I think the text of the programming assignments could be improved. The minimum that should be done, I think, is to do some serious proofreading. I found a lot of mistakes in language (and English is not my native language).

It'd have been better if at least one of the case studies started with raw data. The steps to get raw data to Graphlab/SFrame understandable form are not covered and I think it is important. Otherwise an excellent course.

Thank you very much for the course. I have developed my algorithm on Matlab environment, so far. I have introduced to Python with the help of the course and have obtained much crucial information about machine learning.

Great course for beginners in machine learning.It has created a lot of interest in the field and looking with great expectations for the upcoming implementation courses for the inbuilt functions we used in this course.

Really good foundation for understanding Machine Learning and how to apply the specific methods. The approach of utilizing use cases makes it easier for the user to paint the picture and understand the business problem

It was overview of things that one does using ML. The instructors focused just on the concepts, leaving the internal working on algorithms and that helps someone is very new to this field to first get a broader picture

Nice course for fundamentals with good assignments which really make us work. Only bad thing is that the material was somewhat outdated and they haven't updated all the things like the quizzes with the new framework

It's a really good course and it gives a basic intoduction to ML and its fundamentals.

The course just need to be updated, many things are of older versions & it creates a lot of dificulties in completing the course.

Great hands-on and practical introduction to graphlab and python that is pretty useful in the later courses. I great way of starting a specialization with an overview and small samples of what we are going to learn.

Provide high level overview of main Machine learning concepts. With real life cases, it makes it easier to understand the concept.

The course do not include specific technical but rather a high level introduction.

Pretty good introduction. Enthusiastic teachers give you a good overview with a fair sprinkling of details - enough to get wet your appetite and the language to explore the concepts outside of the course material.

It is giving me inspiration and clarity what we can do if we know machine learning , its clearing clouds to see the sky and letting me to reach it . Thankful to the instructors and to the coursera. love open stuff

Very simple black box approach to ML. Pretty much anyone can start and play around with ML following this course.

I would have like to get a bit more into details but this is great introduction course for anyone.

While the black box approach makes it easy to understand and grasp at a use case level, I missed some of the intuition associated with how these algos get the work done. Overall, a good beginner course to take!

It has made a lot of fun, only what I didn't like, that in this course GraphLab is used. We do not use it in my company, so I would prefer to use Open Source Software packages and not one what has to be bought.

This course is awesome, and it fully integrates with actual needs and theories. However, I feel that the theory is somewhat lacking. It is possible that the teacher will talk more about the rest of the course.

love the approach, although the total lack of support (on the forums) is a bit discouraging. also, there are some errors that make it hard to understand the last week's material, but other than that, it's ok.

IT is a good course to start your machine learning journey. It could have been better with more popular libraries like sklearn and pandas. But the course material is very understandable and nicely delivered.