Bracketology with Google Machine Learning Reviews

Leela Sai Siva Subrahmanyam D. · Reviewed 17 days ago

Akansha J. · Reviewed 17 days ago

Shrushti G. · Reviewed 17 days ago

Harine J. · Reviewed 18 days ago

Ramadevi K. · Reviewed 18 days ago

Asif Quasmi Q. · Reviewed 18 days ago

Pankaj K. · Reviewed 18 days ago

Somebuddy D. · Reviewed 18 days ago

Nurkassym B. · Reviewed 18 days ago

Maksym Z. · Reviewed 18 days ago

José Ignacio L. · Reviewed 18 days ago

Jitender M. · Reviewed 18 days ago

Srinivas S. · Reviewed 18 days ago

Thanh N. · Reviewed 18 days ago

健太 森. · Reviewed 18 days ago

Marcelo G. · Reviewed 18 days ago

Sreeni P. · Reviewed 18 days ago

Sébastien P. · Reviewed 18 days ago

Lorenzo O. · Reviewed 18 days ago

Tania Isabel M. · Reviewed 18 days ago

Alfredo Jose A. · Reviewed 18 days ago

Gaspare V. · Reviewed 18 days ago

Piotr B. · Reviewed 18 days ago

Kateryna S. · Reviewed 19 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 19 days ago