Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...

A: A random forest is a machine-learning method that makes predictions by combining the decisions of many simpler models called decision trees. A decision tree works like a tree from bottom-up. At ...

New research analyzing more than 3,000 tropical forest sites reveals that areas with fewer seed-dispersing animals store up to four times less carbon than forests with healthy wildlife populations.