Bracketology with Google Machine Learning Reviews

Khanh T. · Reviewed about 1 year ago

Angel K. · Reviewed about 1 year ago

Cristian C. · Reviewed about 1 year ago

Ankita C. · Reviewed about 1 year ago

Edson A. · Reviewed about 1 year ago

Dmitri P. · Reviewed about 1 year ago

Willinton T. · Reviewed about 1 year ago

Juan Pablo I. · Reviewed about 1 year ago

Cheng Ee L. · Reviewed about 1 year ago

Paul Cyrille H. · Reviewed about 1 year ago

Frank L. · Reviewed about 1 year ago

Karim A. · Reviewed about 1 year ago

Pankaj B. · Reviewed about 1 year ago

John E. · Reviewed about 1 year ago

Frank Worman G. · Reviewed about 1 year ago

Omar E. · Reviewed about 1 year ago

Aaron K. · Reviewed about 1 year ago

TANIA ALEJANDRA L. · Reviewed about 1 year ago

-

ANGELLE A. · Reviewed about 1 year ago

Kevin K. · Reviewed about 1 year ago

JOSE E. · Reviewed about 1 year ago

After quite many labs on prediction, only now comes definition of features? That's quite un-pedagogical. Moreover, several questions are stated in a very vague way, answers even more. For instance, I would argue, that if one includes games from regular season into dataset about some particular match, one introduces a new quality - obviously, in the match, the psychological condition of the teams is different from the standard season, so the match is inherently biased, and thus involvement of standard seasonal matches can even worsen the prediction (in principle).

Darina L. · Reviewed about 1 year ago

krishna b. · Reviewed about 1 year ago

NA

Pushpendra Y. · Reviewed about 1 year ago

Jim P. · Reviewed over 1 year ago