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Data Science on Google Cloud: Machine Learning に戻る

Google Cloud による Data Science on Google Cloud: Machine Learning の受講者のレビューおよびフィードバック


Activities in these self-paced labs are derived from the exercises from the book Data Science on Google Cloud Platform by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this Google Cloud Labs Series, covering chapter 9 through the end of the book, you run full-fledged machine learning jobs with state-of-the-art tools and real-world data sets, all using Google Cloud tools and services. Note: you will have timed access to the online environment. You will need to complete the lab within the allotted time....

Data Science on Google Cloud: Machine Learning: 1 - 8 / 8 レビュー

by Dominik L


education is a bit too much a BETA version, some instructions are missing, you need to have some experience to help yourself out of those dead ends :-) otherwise its a great education

by Karlos G


Processing Time Windowed Data with Apache Beam and Cloud Dataflow (Java) lab is not working. It does not create the dataflow (Java). Additionally, Real Time Machine Learning with Google Cloud ML lab is not available. I cannot conclude this course becuase of these 2 issues.

by Dana s


this course not update with google cloud

by Andrew W


Required lab inaccessible for months. There is currently no way to complete this course. Folks complaining in the forum, staff giving soothing, meaningless, "We'll fix that real soon!" replies. Support requests to Coursera and to Qwiklabs lead nowhere. And there is another course in the same specialization with the same problem. Good luck to anyone who gets sucked into this like I did.

by Opas S


The last exercise cannot finsihed and Support Qwiklab ask me to unenroll I cannot find this button I select deadline unfortunately my progress reset to 0%. Worst course ever in Coursera. Bad experience. Not recommend

by Javier J


The Labs are broken and there is no support from qwiklabs. Don't waste your time.

by Nick B


Loading time of projects are too long so not enough time to finish in time.

by Lam C V D


P​oor labs