워싱턴 대학교의 Machine Learning Foundations: A Case Study Approach 학습자 리뷰 및 피드백

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!

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.

Me pareció algo confusa la explicación de los modelos de recomendación, creo que debió ser más clara y y práctica.

Good for beginner level, not for intermediate or advance level. I learned more about graphlab than anything else.

Using a proprietary library for a paid course is not really a big issue but some people will be turned off by it.

Definitely a good intro to the richness of ML, but would have preferred more rigorous assignments and evaluation.

not using scikit and assigment way too easy, not challenging, but high quality video, very easy to understand .

Good survey course on ML techniques. Not very detailed and the exercises are too simplistic for real learning.

the lectures are pretty great, engaging. the assignments stick with the lab exercise. the forum pretty active.

old and bad quality but very good explanation half of the course is programming there is no machine learning.

Some of the modules lacked polish and have not been updated since initial recording!

But they were practical.

In my view, too much focus on GraphLab.

This is a problem because GraphLab doesn't seem to be open source.

Some instructions of the programming assignments are not all that clear, which wasted me a lot of time.

They should upgrade the course in respect to python 3. Irrespective of that the theory part was great

would vastly prefer if this was taught using sckit-learn and pandas, given their broader use.

The course is ok, the instruction was very poor for the deep learning section of the course.

The theories for the models should be explained in more detail and with few more examples.

lectures were well done, but the strong focus on using graphlab ruined this course for me