Deep learning session is a bit unclear in that it doesn't give a pratical example of how a simple Nueral network can be mapped to a deep-feature.

The ML Foundations course provides a good overview of the other courses in the specialization. It also provides a good introduction to GraphLab.

The course is great, thank you UW

But there's some problem with the after class answers

For details, please refer to my comments on forum, thanks

The course is great. The only problem was Graphlab and unfortunately i have to convert the code for pandas. Overall the course was informative

Fantastic way of teaching. Only thing that I felt uncomfortable is that practical videos are old and mentioned graphlab instead of turicreate.

Provides a good overview of the machine learning branches. Makes sense to approach it as a black box and then take deep dives in later series.

Updated videos in line with Turicreate could be of great help. Thoroughly enjoyed the learning experience though! Thanks to both the tutors!

Good introduction. I wish the notebooks had been a little more interactive, and there was more emphasis on applying the methods to new data.

A good course to show the extent of what is coming up in the specialization, a quick and dirty hands-on approach and pleasant course tutors.

The course is well structured with a mix of theory and python hands -on. Outdated python packages are used though in the hands-on section.

Great course design and case study! More detail about algorithm will be better, but maybe you can find them more in the following courses.

A good way to get familiar with the machine learning things. it provides the very basic concepts and way of thinking from ML perspective.

The overall course was very useful.

However some topics I found difficulty to understand the idea even after repeating the video 3 times.

I couldn't install Graphlab create on my own environment, so I had to translate almost everything to Pandas/SKLearn.

Great content, still

its a good course to get hands on development with machine learning algorithms. but one disadvantage being its using preparatory library

Great intro course to machines learning. For those who perhaps learnt back in university, it can also serve as a great revision course.

The course content is great, it would be even better if the assignment were a bit more challenging rather than following instructions.

It'd be 5/5 if it used scikit-learn, instead of proprietary software (albeit with 1yr free to use license for non-commercial purposes)

c'est un bon cours y a un petit problème concernant la partie code la bib Turicreate j'arrive pas a l'implémenter sur mon pc Windows.

this is a good first introductory course on various machine learning algorithms. Helped me a lot to understand the basic principles.

Installation of the recommended toolkit is tricky and very expensive if perused non-academically.

Content is clear and well presented.

Good primer to Machine Learning - uses real world examples to introduce different machine learning concepts in an interesting way.

Interesting! The lecturers were good. Though sometimes, things get boring. But overall, the subject and the quizzes were exciting!

This course is very fun especially the lecturers. Beside that, all the topics have contextual sample that very easy to understand

Good course for understanding basics about ML, it will be good for professionals to start same course with Open source libraries