Bracketology with Google Machine Learning Reviews

Nurkassym B. · Reviewed over 1 year ago

Maksym Z. · Reviewed over 1 year ago

José Ignacio L. · Reviewed over 1 year ago

Jitender M. · Reviewed over 1 year ago

Srinivas S. · Reviewed over 1 year ago

Thanh N. · Reviewed over 1 year ago

健太 森. · Reviewed over 1 year ago

Marcelo G. · Reviewed over 1 year ago

Sreeni P. · Reviewed over 1 year ago

Sébastien P. · Reviewed over 1 year ago

Lorenzo O. · Reviewed over 1 year ago

Tania Isabel M. · Reviewed over 1 year ago

Alfredo Jose A. · Reviewed over 1 year ago

Gaspare V. · Reviewed over 1 year ago

Piotr B. · Reviewed over 1 year ago

Kateryna S. · Reviewed over 1 year 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 over 1 year ago

Joaquin L. · Reviewed over 1 year ago

very good

Nikita R. · Reviewed over 1 year ago

Manpreet B. · Reviewed over 1 year ago

Payaswini R. · Reviewed over 1 year ago

Yerasyl S. · Reviewed over 1 year ago

성현 최. · Reviewed over 1 year ago

아영 김. · Reviewed over 1 year ago

Anatoliy A. · Reviewed over 1 year ago