Can you beat Zencos' machine learning model? Basketball Madness competition is ON!

[AnnaBrown]

If you're US college basketball fan and run machine learning models for your job (or for fun), you'll be into the first-ever Zencos challenge for the NCAA tournament. Think your bracket can beat Abe Lincoln, an ensemble model using SAS Enterprise Miner and Zencos' Chris St. Jeor? Then submit it to the Zencos Madness Tournament Challenge through ESPN. 

Check out this blog post for details: The Madness Begins: Can You Beat Our Machine Learning Model?

[art297]

@AnnaBrown: Zencos didn't show what their machine learning model predicted, but I'd be surprised if a machine learning model can produce a better bracket then any of us doing it manually.

The one advantage it has is that it doesn't automatically select alma maters which I, of course, simply have to do (GO MARSHALL and GO MICHIGAN STATE).

Will be interesting to see what their model predicted.

Art, CEO, AnalystFinder.com

[AnnaBrown]

Great point, @art297. Bias can get the best of us, can't it? GO PACK! Though I am realistic. 🙂 @cstjeor1 and @Mike_Drutar will appreciate this.

[cstjeor1]

@art297 you should be happy to know that Abe Lincoln (the bracket filled out by random flips of a coin) has Marshall making it all the way to the elite eight! 

For anyone that want's to participate in the Zencos' Tournament Challenge can submit their bracket here:

http://games.espn.com/tournament-challenge-bracket/2018/en/group?groupID=2316763

The three brackets featured in this year's turnament (The Human, The Machine, and Abe Lincoln) will be revealed Thursday at tip-off!