Aprendí muchas cosas interesantes. Actualmente es grande la dificultad para realizar las prácticas de programación con la librería que usan "graphlab" la cual no se relaciona my bien con windows.

In and of itself, the content of the course was pretty good. However, after working through 2 deep dive AI courses of each 6 months, obviously this particular course was not much of a challenge.

The Professors and the lectures were excellent. Homeworks are way to easy. Would like to use open source tools like pandas and sci-kit learn instead of proprietary tools like graphlab.

I cannot download all the software needed specifically Turicreate, despite the provided link it shows never-ending errors, after a week of trying I had to give up the course since.

This course needs to be updated. It's hard to follow the notebooks since the lecture was on GraphLab, and some of the explanations were not elaborate enough, especially Week 6.

I like more to work with sklearn rather than GraphLab..

Actually many recommended this course to me, and I expect more excitement in the next courses in this specialization

Pros : You will get a great fundamental conceptual understanding of basic ML concepts and practical implementations.

Cons: Using Turicreate over sci-kit learn and tensorflow

I don't like this course , because the homework can not match the lesson. I can not got more messages to completed the homework.

So I will Unregister this courser , Thanks.

There are still many errors and corrections to be made in practical application part and reading parts.

The conversion from graphlab to turicreate is not complete at all.

The only reason that I am giving 3 star is the design of the quizzes for each week. The readings are too long and the content of the quiz sometimes gets you frustrated!

Professors are very good , i am really enjoy in this class, but no further discussion about implementing ML algorithm, just call the API to handle the sort of data.

The lectures are fine. However the content is way too easy. Another course on Coursera `Mining Massive DataSets` is much better, in the depth and horizon.

App needed to complete assignments ceased to function early on - forum / admin did not help to find solution. Otherwise good intro to get started with ML.

Generally ok. Towards the end of the course, the lectures could have been a bit more in depth - or provide students with a more in depth reading list.

I think this is an excellent course. I would have given 5 stars if this course is not based on Graphlab which is not affordable to the general public.

Gives a really broad overview of ML concepts. Examples (and assignments) use a commercial Dato product called (GraphLab Create). Expect nothing else.

Nice explanation of basic ML but I would suggest please provide the practise tool with proper integration.That is a big headcahe in this course.

A solid course, let down by quality issues in the last two modules. I hope these are fixed soon because it would make this a top notch course...

It will give you an overview about the ML concept. But to get detail we need to have the specialization course or learn it our self.

Get ready for a course that assumes you have all the software they use already installed without advanced notice or instructions!

s​ome of the video content is old, and some of python functions explained gives errors as it have changed and command is updated

Very good course; except the bugs in Graphlab with reference to .apply and lambda workers command . This needs to be fixed.....

All algorithms were black boxed. It was a nice course on how to use Dato's GraphLab and an overview of ML concepts.

Fun lectures but the coverage is too simplistic. Looking forward to the more in-depth courses in the specialization.

Materials from video differ from the web ( in videos graphlab, in materials Turicreat), including home assignment.