If someone is looking for ML foundations and what is ML, they can choose this course. This is very basic course and i feel should be excluded from the ML specialization.

One would learn a thing or two, but the course is very sparse compared to other machine learning courses, and I didn't feel that it was worth the time and the cost.

I do not like this course being tied to a commercial product. In my opinion it should be using an open source python library and not focusing on the Dato product.

This is a good idea to use the case study approach. However, there are issues with files and program setup that stopped me from continuing with the course.

The framework is ok, but it would be more insight on the functions would be much more amplifying the learning process.

Good working examples, though!

I thought that indepth will be taught and enrolled for this course, but unfortunately its only basics. I wasted my enrollement

It started nice but there are some basic aspects, like installing Turi Create, neglected. I had to withdraw from the course.

it's rather a course on using API of proprietary software with very very basic background on the actual math underneath

I didn't like the python environment, I thought it will be more like Ng's course. Nice explanations, but for amateurs.

Due to many technical issues with GraphLab lib I have to reduce acitivity in this curse for only video viewing :(.

Course videos are outdated and requires time to investigate and research. This causes wasted time and effort.

Very, very high altitude introduction presented in a seemingly confused way with a lot of product placement.

TBH this class's experience is not good. The lecturers seem unprepared and they talk very repetitively.

Not given details like what is a vector? people from non technical backgrounds will have tough time

Very good course material. However, Graphlab is no longer free to use for commercial purpose.

This course is to much about graphlab and not enough about the mechanics of machine learning.

outdated nightmare to get started. unusable practicals outside of learning sand box.

The subjectes are not learnt deeply and precisely. Too summarized and vague!

great professors, great setup. Just extremely outdated software is used.

As a non programer, or mathematician, this course is too hard to follow.

They Don't tech the mathematics behind the machine learning.

This course doesn't give any insight about the algorithms.

This course has no value!!! it's using obsolete tools.

Too hard

I​ would avoid this course. The course structure is badly organised and hard to follow, the material covered is lacking in detail on key underlying concepts that are key to learning what you're doing and the notes provided do not provide key information that would let them be used as reference material for you to go back and review.

B​ut - much more importantly - the course notes and information have been written using an old, out of date, library, while the tests and some of the material refers to a newer library that is not a direct replacement. As a result, many of the instructions and guides don't work at all, or are incredibly hard to understand with the new model.

F​inally, also as a result, many of the test question's answers are wrong - when you do the questions using the new library you get an answer that the automatic grading says is wrong - even though it is correct.

A​nd there is no help in the dicusssions from moderators.

S​o while this may have been a passibly acceptable course at one time, it is now basically a frustrating, bi-polar mess, with no help provided to guide you.