Start / Data Skeptic / Mini adaboost

[MINI] AdaBoost

11 min • 4 november 2016

AdaBoost is a canonical example of the class of AnyBoost algorithms that create ensembles of weak learners. We discuss how a complex problem like predicting restaurant failure (which is surely caused by different problems in different situations) might benefit from this technique.

Senaste avsnitt

Network of Past Guests Collaborations

21 juli | 34 min

The Network Diversion Problem

6 juli | 46 min

Complex Dynamic in Networks

28 juni | 56 min

Github Network Analysis

22 juni | 37 min

Networks and Complexity

14 juni | 18 min

Podcastbild

00:00 -00:00

Podcastbild

00:00 -00:00