ML on GCP [v1.0] - C4 - Como melhorar a precisão do modelo com novos recursos avaliações

Could ask for estimation differences given changes in data. How including a new feature or adjusting its rang affects the model.

Julio M. · Revisado há almost 8 years

Average level. Not google level lab.

Jitender S. · Revisado há almost 8 years

Could ask for estimation differences given changes in data. How including a new feature or adjusting its rang affects the model.

Julio M. · Revisado há almost 8 years

Azadeh A. · Revisado há almost 8 years

Javier P. · Revisado há almost 8 years

Christian N. · Revisado há almost 8 years

Cabot N. · Revisado há almost 8 years

吳品曄 吳. · Revisado há almost 8 years

Some explanation of output would have been useful including comparison to loss found on earlier models.

Jon B. · Revisado há almost 8 years

Jiaming K. · Revisado há almost 8 years

Jeff L. · Revisado há almost 8 years

Min L. · Revisado há almost 8 years

Daniel F. · Revisado há almost 8 years

LTI S. · Revisado há almost 8 years

Enrique P. · Revisado há almost 8 years

Jamieson S. · Revisado há almost 8 years

Matt F. · Revisado há almost 8 years

Mario Y. · Revisado há almost 8 years

Ezra E. · Revisado há almost 8 years

I would have enjoyed a prediction. But I'm sort of getting used to having the summary during the following lab solution. Looks like average loss for eval data is a reasonalbe measure of relative training effectiveness for different features.

Charlie M. · Revisado há almost 8 years

I would have enjoyed a summary. But I'm sort of getting used to having the sumary during the following lab solution.

Charlie M. · Revisado há almost 8 years

Michael B. · Revisado há almost 8 years

Artan R. · Revisado há almost 8 years

LEE S. · Revisado há almost 8 years

Jeffrey S. · Revisado há almost 8 years