Initial few courses has low volume, and making it difficult to understand.\n\nRest - all is amazing, structure, instructions and lap - Fantastic experience.
Enjoyed. I would add more in-depth ML part for BigQuery and different scenario. it also good to explain metric how and how to choose right features etc
교육 기관: Marga M•
This course is pretty interesting. The most interesting of the whole specialization. The labs are cool, but it's all copy & paste. It'd have been nice to have to come up with some solutions myself.
교육 기관: Dr.G.N.K.Sureshbabu•
A very good course . Hands on labs provide an experience of real time analysis of data . The instructor is amazing.Some of the labs needs to be updated according to current features.
교육 기관: Chariton C•
It would be nice if the labs had additional/different code then the one explained over the videos.
교육 기관: ONG K S•
Overall, this course is easy to understand and practical. Not much technical jargon.
교육 기관: christopher c•
Good introduction to ml for me given i had no previous knowledge on the basics.
교육 기관: SUMA G•
Course was simple to understand and very effective with good syllabus
교육 기관: Giorgio M•
Lot of insight, maybee more checks for the labs and self development
교육 기관: Mursyied Q•
Very difficult and fun
교육 기관: Raden R•
교육 기관: Hernán D R S•
교육 기관: SOUGATA M•
교육 기관: Andrew P B•
This is a very uneven course. There is some good material in the latter stages, but the initial coverage is very superficial. Some of the labs appear to have been lifted from Google's standard demos that you can find on the web. The qwiklabs tool is very tiresome, timing out your session after 90 mins, which means that on the more interesting lab there isn't time for proper exploration before your datalab session is reset (and lost). This seems unnecessary and mars what could have been very interesting.
교육 기관: Juan D O•
I very disliked this module because of the accelerated labs in the end. I felt the the material of the last lab was worthy to invest at least a week of work. I also think that the 90 minutes lapse on Quicklab to finish the lab was not well suited for comprehensively studying the lab content. I would like to have had more time for experimenting by myself.
교육 기관: vincent p•
Need more about the benefits of using Cloud Engine or DataFlow. The lab only shows that using those services is 100 times slower than local, which I think should not be the case.
교육 기관: Santhosh L P•
Not much detail and course would have been little more detailed
교육 기관: Kaushik D•
It is too high level
교육 기관: Xin H•
too easy for me!
교육 기관: Joslin F•
교육 기관: Ivelize R B•