автор: OA
•Nov 26, 2018
It's a pretty interesting course, specially that's the only one that teaches featuring engineering with a focus on production issues, but it assumes some knowledge with apache beam, and dataflow.
автор: CV
•Jul 01, 2018
Excellent Course and advice from experts about Feature Engineering and data pipelines utilizing advanced processes on GCP, thanks to Google and Coursera.
Рецензии: 70
автор: Eric
•Feb 02, 2019
Learned a lot
автор: Gregory R. Gray Jr.
•Jan 30, 2019
Thumbs sideways.
I learned a ton but it appears as technology grows and changes updates to the platform is sort of static.
автор: Sulthan Mohaideen N.K
•Jan 18, 2019
had a great experience
автор: Alejandro Otanez
•Jan 15, 2019
More hands on activities is the common theme on all classes, its a lot of talking and not a lot of putting things together, follow the University of Michigan Python curriculum, that one is great for hands on learning.
автор: Putcha Lakshmi Narasimha Rahul
•Jan 13, 2019
Amazing course! Gives insight into one of the most important part of solving Machine Learning problems; feature engineering!!
автор: Mario Rivas
•Jan 13, 2019
This course should be mandatory for any ML practitioner. It teaches you that ML is not only about throwing whatever you want to (sort of) a model and expect to get reasonable results. It is about getting to know your problem and squeeze the data available.
автор: Alexander Zehetmaier
•Dec 29, 2018
great content and cool notebooks ... sometimes hard to follow
автор: Mark Broich
•Dec 26, 2018
Very useful. Good job.
Hands-on parts could be broken into smaller chunks with longer de-briefs.
автор: Rohit Kumar Agarwal
•Dec 24, 2018
No course material for reference
автор: Carlos Bravo
•Dec 20, 2018
The work needed was waaaaay below a one week