This course covers a lot about the data pre-processing, and the tools available in Google Cloud to enable the gruelling tasks. Thanks very much for the lectures and training labs. Very informative.
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.
por Attila B•
Really comprehensive course.Was a bit tough to follow sometimes,but guess it's just beginners problem.
por RIJO R•
Good Course, helped me to learn something new about GCS and feature learning. Thanks for this course.
por Emily T•
This course really needs more hands on work with code, but it was still good and I learned lots.
por Sandeep K•
this was really good, except removed one start for trifacta integration of dataflow lab.
por Nagireddy S R•
Felt like it was cut short at the end. Would like to see a bit more on the tf.transform
por borja v•
the course needs some code upgrades because of ML engine is close to be depecreated
very nice course , -1 star for no pdf/ppt notes made available
por Alexander Z•
great content and cool notebooks ... sometimes hard to follow
por Marcos H•
Very practical and Lak is a great teacher and communicator!
por Fernandes M R•
Maybe a little more example of how deal with features.
por Malithi N•
This course explains theories nicely with labs
por Joel M•
good clear instructions, and valuable content.
por Anupam P•
Comprehensive yet precise and clear.
por Rohit K A•
No course material for reference
por Michael C•
Very important information here
por Rahul K•
Lovely Course. Thanks Google
por Ripunjoy G•
Labs have problems
por Rohit K S•
por Abhishek S•
por Terry L•
개요를 알게 되서 좋음
por Benjamin F•
por Ahmad T•
por Yingchuan H•
The content of this course might be a bit too much for one week compared to previous courses in the specialization. Also, it would be great if some of the labs are more clarified and introduce more opportunities for students to participate in writing code for the lab session rather than just going through it and running existing code. I did experience some issues installing the tf transform package for the last lab, which might not be a common issue, but was kind of frustrating as it prevents me from more exploration of the learned skills. Thanks for providing the course anyway. I learned a lot from it.
por Fabrizio F•
The subject is very interesting and I was alwyas curious about how Feature Engineering should be done with Tensorflow. I come from Pandas, where feature engineering is not that difficult, but with Tensorflow it is different and not that intuitive. Here in the course three different ways are presented. I guess I'll have to study more Apache Beam.
por Jonathan A•
The concepts were taught well. However, a lot of code and cloud interaction was involved, making the labs a key piece of the material. Two of the labs didn't work because the Google lectures aren't up-to-date with the Google APIs. Although Coursera response to the bad labs was prompt, the Google team did not respond.