关于“Agent Platform：使用 AutoML 预测贷款风险”的评价

Most confusing lab - with SML token , 1/2 with incognito and then app does not work. Which email to use. Not sure made much sense.

Freddy G. · 已于 almost 4 years前审核

suggestion to decrease the dataset size or increase clusters to get the model training done within time.

Jeewan S. · 已于 almost 4 years前审核

Daniel Gerardo L. · 已于 almost 4 years前审核

ATHARVA G. · 已于 almost 4 years前审核

Jeremy P. · 已于 almost 4 years前审核

Abraham P. · 已于 almost 4 years前审核

Steve M. · 已于 almost 4 years前审核

Arun S. · 已于 almost 4 years前审核

Keshwanand A. · 已于 almost 4 years前审核

Claus K. · 已于 almost 4 years前审核

Rohan A. · 已于 almost 4 years前审核

Carlos S. · 已于 almost 4 years前审核

DURISALA L. · 已于 almost 4 years前审核

Roshan M. · 已于 almost 4 years前审核

Ahmed A. · 已于 almost 4 years前审核

Shruti P. · 已于 almost 4 years前审核

Jerzy B. · 已于 almost 4 years前审核

Leena M. · 已于 almost 4 years前审核

Peter J. · 已于 almost 4 years前审核

Fenohasina R. · 已于 almost 4 years前审核

Fabrizio G. · 已于 almost 4 years前审核

One cannot gain any hands on experience since the model training and endpoint deployment is too slow. The 2 1/2h slot is not sufficient for the model to train and the endpoint to deploy. In addition, you can only go through the instructions when the model is in place. Using a pre-trained model is a good idea, however, a more detailed explaination on where I can find the INPUT-DATA etc in the console once I imported it using the cloud shell would be helpful. Not just say "have a look at the data to validate"...

Kathrin P. · 已于 almost 4 years前审核

Juan Cruz M. · 已于 almost 4 years前审核

Pradeep N. · 已于 almost 4 years前审核

Alejandro A. · 已于 almost 4 years前审核