BIGML ONLINE WEBINAR: Launching Boosted Trees!

BigML's Winter 2017 release is bringing Boosted Trees to BigML's Dashboard and API, the third ensemble-based strategy that BigML provides to help you easily solve your classification and regression problems.

With Boosted Trees, tree outputs are additive rather than averaged (or decided by majority vote). Individual trees in a Boosted Tree differ from trees in bagged or random forest ensembles, since they do not try to predict the objective field directly. Instead, they try to fit a ‘gradient’ to correct mistakes made in previous iterations. This unique technique, where each tree improves on the imperfect predictions of the previously grown tree, lets you predict both categorical and numeric fields.

Please join the FREE live online webinar on Tuesday, March 21, at 06:00 PM CET (Valencia, Spain. GMT +01:00) to know how to apply Boosted Trees in your Machine Learning projects.

IMPORTANT: Attendance is free, but you first need to reserve your spot from the link below to gain access: https://attendee.gotowebinar.com/register/357026100373619713

The webinar will be in English.

Looking forward to your attendance!