Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much
Great course!\n\nEmily and Carlos teach this class in a very interest way. They try to let student understand machine learning by some case study. That worked well on me. I like this course very much.
교육 기관: Murat O•
Gives a really broad overview of ML concepts. Examples (and assignments) use a commercial Dato product called (GraphLab Create). Expect nothing else.
교육 기관: suresh k p•
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.
교육 기관: Paul C•
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...
교육 기관: Jawahir M A K•
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.
교육 기관: Kristoffer H•
Get ready for a course that assumes you have all the software they use already installed without advanced notice or instructions!
교육 기관: Abiodun M•
Very good course; except the bugs in Graphlab with reference to .apply and lambda workers command . This needs to be fixed.....
교육 기관: Corey K•
All algorithms were black boxed. It was a nice course on how to use Dato's GraphLab and an overview of ML concepts.
교육 기관: Michael B•
Fun lectures but the coverage is too simplistic. Looking forward to the more in-depth courses in the specialization.
교육 기관: Aleksei Z•
Materials from video differ from the web ( in videos graphlab, in materials Turicreat), including home assignment.
교육 기관: Yuliana F N•
Me pareció algo confusa la explicación de los modelos de recomendación, creo que debió ser más clara y y práctica.
교육 기관: Ajay S•
Good for beginner level, not for intermediate or advance level. I learned more about graphlab than anything else.
교육 기관: Serban C S•
Using a proprietary library for a paid course is not really a big issue but some people will be turned off by it.
교육 기관: Pēteris K•
Definitely a good intro to the richness of ML, but would have preferred more rigorous assignments and evaluation.
교육 기관: Luca•
not using scikit and assigment way too easy, not challenging, but high quality video, very easy to understand .
교육 기관: Pubudu W•
Good survey course on ML techniques. Not very detailed and the exercises are too simplistic for real learning.
교육 기관: Nguyễn T T•
the lectures are pretty great, engaging. the assignments stick with the lab exercise. the forum pretty active.
교육 기관: ADNAN A G•
old and bad quality but very good explanation half of the course is programming there is no machine learning.
교육 기관: Neb T•
Some of the modules lacked polish and have not been updated since initial recording!
But they were practical.
교육 기관: Thomas M G•
In my view, too much focus on GraphLab.
This is a problem because GraphLab doesn't seem to be open source.
교육 기관: Zizhen W•
Some instructions of the programming assignments are not all that clear, which wasted me a lot of time.
교육 기관: Rajdeep G•
They should upgrade the course in respect to python 3. Irrespective of that the theory part was great
교육 기관: adam h•
would vastly prefer if this was taught using sckit-learn and pandas, given their broader use.
교육 기관: Cameron B•
The course is ok, the instruction was very poor for the deep learning section of the course.
교육 기관: Uday k•
The theories for the models should be explained in more detail and with few more examples.
교육 기관: Alexander B•
lectures were well done, but the strong focus on using graphlab ruined this course for me