Learner Reviews & Feedback for Machine Learning Foundations: A Case Study Approach by University of Washington

there is no proper documentation.

at least there should be some clear instructions for first program

I was expecting to solve problems using more open-sourced package. Unfortunately, I feel this series of courses are more of an advertisement for the instructor's software company.

Using a proprietary library instead of widely used libraries and discouraging the use of open source widely used libraries. It barely compiles, the example notebook has method calls that use non existing methods of the SFrame object.

The course claims that it teaches the student how useful practical knowledge but then ends up using a non standard library and saying not to use pandas or scikit learn.

Great Experience

Very comprehensive and hand-on fashioned course, recommended!

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.

It was a great introduction!

Awesome course to get started to ML with Python.

The professors have taken it in a fun filled way. The material is also very interesting. This is an experience worth having.

Great course. Thank you.

以实际案例结合的讲解，非常有意义，对于新手来说，更能亲自体验到机器学习的强大

Good Machine Learning course for beginners.

Good case studies to start with. Would have been better if python 3 was used. Please update and provide everything in python 3.

Great Experience...! Loved it...!

I was totally new to the machine learning, but this course helped me to understand what is it? What is the importance of it ? where it can be used and what will be the future of it ? There was also enough exercise work to check our understanding to the topic learnt. I think it will be more interesting if they provide a console for code snippet for the assignment... It was very nice experience with Carlos Guestrin Sir and Emily Fox Ma'am

Great course!

very good and excellent course.

Nice course to understand the basics of Machine Learning

This course is very helpful for a beginner and provides a good foundation for the specialization and the advanced courses

Excellent introductory course on Machine Learning. The material is taught at a level that does not require much in terms of pre-requisites, both in terms of the math and the programming requirements. From my perspective, I have an extensive background in Math, and some background in programming (MATLAB, R). I had not used Python prior to this course, and I found that I could keep up and learn both some Python and ML. I was able to finish the course in two weeks. Well done to the instructors who made the videos fun and accessible. Recommended for anyone who wants to learn something about ML.

Awesome, better course of machine learning.

Very good as an introduction to the further learning of ML

The only way these courses could be better if there were far more of them from the same professors. If more of the nitty gritty details of these algorithms were fleshed out in all their glory, more algorithms, more mathematical derivations & more tutorials in the programming languages & libraries used. Otherwise, these MOOCs are near perfection. A very, very nice introduction for beginners with just a little bit of math & not too much programming. Just enough for busy people. I've reserved that 5th star due to the slow pace that the MOOCs have been released (which will presumably be irrelevant for future machine learners) & the fact that there really needs to be more of these very high quality moocs. So there aren't enough of them, so I reserve a star. Hopefully in the future that will be irrelevant as well in which case I'll regret not indicating 5 stars.

Excellent course. Explained all the ML concepts in detailed and easy way.

Feeling still long way to go, at least took very serious track - with challenging assignments and re-learning required tasks!