BL
16. Okt. 2016
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
PM
18. Aug. 2019
The course was well designed and delivered by all the trainers with the help of case study and great examples.\n\nThe forums and discussions were really useful and helpful while doing the assignments.
von Deleted A
•5. Juni 2016
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.
von Kai W
•21. Nov. 2015
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.
von Murat O
•28. Jan. 2016
Gives a really broad overview of ML concepts. Examples (and assignments) use a commercial Dato product called (GraphLab Create). Expect nothing else.
von suresh k p
•28. Juli 2018
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.
von Paul C
•24. Nov. 2016
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...
von Jawahir M A K
•17. Juli 2020
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.
von Kristoffer H
•8. Juni 2016
Get ready for a course that assumes you have all the software they use already installed without advanced notice or instructions!
von Abiodun M
•18. März 2018
Very good course; except the bugs in Graphlab with reference to .apply and lambda workers command . This needs to be fixed.....
von Corey K
•11. März 2016
All algorithms were black boxed. It was a nice course on how to use Dato's GraphLab and an overview of ML concepts.
von Michael B
•2. Nov. 2015
Fun lectures but the coverage is too simplistic. Looking forward to the more in-depth courses in the specialization.
von Aleksei Z
•16. Jan. 2020
Materials from video differ from the web ( in videos graphlab, in materials Turicreat), including home assignment.
von Yuliana F N
•22. Dez. 2020
Me pareció algo confusa la explicación de los modelos de recomendación, creo que debió ser más clara y y práctica.
von Ajay S
•4. März 2019
Good for beginner level, not for intermediate or advance level. I learned more about graphlab than anything else.
von Serban C S
•11. Feb. 2018
Using a proprietary library for a paid course is not really a big issue but some people will be turned off by it.
von Pēteris K
•23. Sep. 2017
Definitely a good intro to the richness of ML, but would have preferred more rigorous assignments and evaluation.
von Luca
•10. Nov. 2016
not using scikit and assigment way too easy, not challenging, but high quality video, very easy to understand .
von Pubudu W
•10. Juli 2017
Good survey course on ML techniques. Not very detailed and the exercises are too simplistic for real learning.
von Nguyễn T T
•13. Okt. 2015
the lectures are pretty great, engaging. the assignments stick with the lab exercise. the forum pretty active.
von ADNAN A G
•9. Okt. 2020
old and bad quality but very good explanation half of the course is programming there is no machine learning.
von Nebiyou T
•7. Juni 2017
Some of the modules lacked polish and have not been updated since initial recording!
But they were practical.
von Thomas M G
•21. Feb. 2018
In my view, too much focus on GraphLab.
This is a problem because GraphLab doesn't seem to be open source.
von Zizhen W
•16. Okt. 2016
Some instructions of the programming assignments are not all that clear, which wasted me a lot of time.
von Rajdeep G
•7. Sep. 2020
They should upgrade the course in respect to python 3. Irrespective of that the theory part was great
von adam h
•8. Feb. 2016
would vastly prefer if this was taught using sckit-learn and pandas, given their broader use.
von Cameron B
•20. Apr. 2016
The course is ok, the instruction was very poor for the deep learning section of the course.