À propos de ce cours
Meilleurs avis
par 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.
par 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.
70 avis
par Eric
•Feb 02, 2019
Learned a lot
par 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.
par Sulthan Mohaideen N.K
•Jan 18, 2019
had a great experience
par 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.
par 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!!
par 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.
par Alexander Zehetmaier
•Dec 29, 2018
great content and cool notebooks ... sometimes hard to follow
par Mark Broich
•Dec 26, 2018
Very useful. Good job.
Hands-on parts could be broken into smaller chunks with longer de-briefs.
par Rohit Kumar Agarwal
•Dec 24, 2018
No course material for reference
par Carlos Bravo
•Dec 20, 2018
The work needed was waaaaay below a one week
