Bracketology with Google Machine Learning Reviews

健太 森. · Reviewed about 2 years ago

Marcelo G. · Reviewed about 2 years ago

Sreeni P. · Reviewed about 2 years ago

Sébastien P. · Reviewed about 2 years ago

Lorenzo O. · Reviewed about 2 years ago

Tania Isabel M. · Reviewed about 2 years ago

Alfredo Jose A. · Reviewed about 2 years ago

Gaspare V. · Reviewed about 2 years ago

Piotr B. · Reviewed about 2 years ago

Kateryna S. · Reviewed about 2 years ago

no problems, maybe question discussion point range team: high-lowscoring-winning team only add to model if invidual profile of style is significant for winning, e.g. look at good attk vs good defence, good attk vs good defence, etc. and make a correlarion or stochastic dependency test; compare with other features if wanted, and decide if should be added

Christian W. · Reviewed about 2 years ago

Joaquin L. · Reviewed about 2 years ago

very good

Nikita R. · Reviewed about 2 years ago

Manpreet B. · Reviewed about 2 years ago

Payaswini R. · Reviewed about 2 years ago

Yerasyl S. · Reviewed about 2 years ago

성현 최. · Reviewed about 2 years ago

아영 김. · Reviewed about 2 years ago

Anatoliy A. · Reviewed about 2 years ago

Erick M. · Reviewed about 2 years ago

Lee Y. · Reviewed about 2 years ago

stats G. · Reviewed about 2 years ago

Deep P. · Reviewed about 2 years ago

Vijay G. · Reviewed about 2 years ago

Shreya S. · Reviewed about 2 years ago