convore.json/groups/learn/predictive-analytics/messages.json

[{"user_id": 10890, "stars": [], "topic_id": 15824, "date_created": 1301336330.5137739, "message": "the idea of averaging over numerous robust and orthogonal models on random subspaces seems to naturally flow from bootstrapping and combining unrelated predictive models.", "group_id": 3800, "id": 460625}, {"user_id": 10890, "stars": [], "topic_id": 15824, "date_created": 1301335283.8140681, "message": "Jeremy HOWARD (who was semi-finalist at several Kaggle competitions, and now their \"Data Scientist\") gaves a brief overview of his \u201ctoolbox\u201d (using a few Kaggle competitions as practical examples), and also provides an introduction to ensembles of decision trees (including the well-known Random Forest algorithm):  http://media.kaggle.com/MelbURN.html -- nice screencast.", "group_id": 3800, "id": 460568}]