Bracketology with Google Machine Learning Reviews

Shrushti G. · Reviewed 12 days ago

Harine J. · Reviewed 12 days ago

Ramadevi K. · Reviewed 12 days ago

Asif Quasmi Q. · Reviewed 12 days ago

Pankaj K. · Reviewed 12 days ago

Somebuddy D. · Reviewed 12 days ago

Nurkassym B. · Reviewed 12 days ago

Maksym Z. · Reviewed 12 days ago

José Ignacio L. · Reviewed 13 days ago

Jitender M. · Reviewed 13 days ago

Srinivas S. · Reviewed 13 days ago

Thanh N. · Reviewed 13 days ago

健太 森. · Reviewed 13 days ago

Marcelo G. · Reviewed 13 days ago

Sreeni P. · Reviewed 13 days ago

Sébastien P. · Reviewed 13 days ago

Lorenzo O. · Reviewed 13 days ago

Tania Isabel M. · Reviewed 13 days ago

Alfredo Jose A. · Reviewed 13 days ago

Gaspare V. · Reviewed 13 days ago

Piotr B. · Reviewed 13 days ago

Kateryna S. · Reviewed 13 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 13 days ago

Joaquin L. · Reviewed 13 days ago

very good

Psycho H. · Reviewed 14 days ago