I enjoyed this course too much, usually every company wants a recommended system, but the courses or examples available on the web are few. Very well explained many theoretical aspects.
Amongst all tensorflow courses this is probably the most useful. Using AI to make better and automated recommendations can benefit most businesses.
By Agerneh D•
By Rahul G•
awesome labs !
By Ayoub B•
By wildan p•
By Gregory G J•
By Mr. J•
By Ngọc H N•
By Kamlesh C•
By Naman M•
By Anshumaan K P•
By Atichat P•
By Philip V j•
By Afreen F•
Theoretical part was great and some of it was really new for me(eg. WALS, contextual recommendations).
Lab was really pointless as the time provided did not justify the problem difficulty level. But, I guess that was necessary as resources used were expensive. Another pain point was creation of an account every time.
By Sudheep E•
Very good course. In the last assignment , some explanation was missing on how to trigger a manual test for a DAG. So please correct that. Also before each assignment give an overview of todo parts such that the student can keep those items ready with him.
By Rodrigo S•
Some of the labs had no work for me to do whatsoever - just run the notebook as is. Other than that, great course. Cheers!
By Guillermo M•
I would like that in the course provide for more readings to keep it.
By Pattana A•
Some Lab script do not work
By Hemant D K•
A very challenging course.
Doesn't rush over the various methods, discusses them in detail. The lab videos are some of the most in depth in this specialization.
Discusses the logic of designing a good recommender system quite well.
The content is out of date in applications. Like it seems every course in this spec, the tasks we are assigned and the tasks discussed are totally mismatched a lot of the time.
By Abraham T•
The Qwiklabs materials are outdated, however the lectures are insightful.
By Walter H•
while the topics and lectures are very interesting, the course is extremely broken in its current form. There are multiple instances where you first get a lecture and are then asked to do a lab, but the lab is on a completely different topic than the lecture was. One example is the final lab of week 2, where you should be building an end to end solution, but instead you get a lab that only focusses on a topic from week 1. It seems this course was reworked at some point, but the 2nd version is no longer coherent whatsoever. It's hard to recommend this course in its current form as a result.