Production Machine Learning Systems, Google Cloud
Informações sobre o curso
Melhores avaliações
por AK
•Dec 07, 2018
It is very good course, gives good overview over large ML systems on cloud, a lot of examples from real implementations gives good understunding about problematics in projects realisations
15 avaliações
por Alexander Kulikov
•Feb 10, 2019
excellent
por bhadresh savani
•Jan 23, 2019
It was bit hard course but lab work was great and learn many production level consideration for ml systems.
por Mark Davey
•Jan 15, 2019
Very practical which was nice. Thank you for adding the Quicklabs that helped a lot.
por Lloyd Palum
•Jan 06, 2019
The module on hybrid systems was weak. The time it would take to cover the material would be prohibitive so why do the intro that then apologize for not having the time to explain the material. Leave it out...
por Raja Ranjith Garikapati
•Dec 08, 2018
Very informative on production systems....
por Artur Kuprijanov
•Dec 07, 2018
It is very good course, gives good overview over large ML systems on cloud, a lot of examples from real implementations gives good understunding about problematics in projects realisations
por Hemant Devidas Kshirsagar
•Nov 25, 2018
Very Informative.
por Michael Feldman
•Nov 11, 2018
wow gcp michael feldman
por Carlos Viejo
•Nov 11, 2018
This Course has excellent explanations and advice on how to move your models into production and make sure they are reliables and don't lose accuracy over time. The course illustrates how to use the entire ecosystem on GCP that is impressive, quite happy with the explanation and the expert's advice.
por Harold Lawrence Marzan Mercado
•Nov 08, 2018
Overall rating is 3 out of 5, as I expected more of the initial line in the first course. The optional Kubeflow lab has issues, as the ksonnet apply command line halts. Also, the last lab was expected to allow the student to code more, as this is the only way to make a person to gain more insights on the architecture.
