Bracketology with Google Machine Learning Reviews

Somebuddy D. · Reviewed 27 days ago

Nurkassym B. · Reviewed 27 days ago

Maksym Z. · Reviewed 27 days ago

José Ignacio L. · Reviewed 27 days ago

Jitender M. · Reviewed 27 days ago

Srinivas S. · Reviewed 27 days ago

Thanh N. · Reviewed 27 days ago

健太 森. · Reviewed 27 days ago

Marcelo G. · Reviewed 27 days ago

Sreeni P. · Reviewed 28 days ago

Sébastien P. · Reviewed 28 days ago

Lorenzo O. · Reviewed 28 days ago

Tania Isabel M. · Reviewed 28 days ago

Alfredo Jose A. · Reviewed 28 days ago

Gaspare V. · Reviewed 28 days ago

Piotr B. · Reviewed 28 days ago

Kateryna S. · Reviewed 28 days 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 28 days ago

Joaquin L. · Reviewed 28 days ago

very good

Psycho H. · Reviewed 28 days ago

Manpreet B. · Reviewed 28 days ago

Payaswini R. · Reviewed 29 days ago

Yerasyl S. · Reviewed 29 days ago

성현 최. · Reviewed 29 days ago

아영 김. · Reviewed 29 days ago