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 ...

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 ...

Block plantations like these may look efficient, but research shows that more diverse and randomised tree arrangements boost forest productivity and ecosystem health. A new paper published in Nature ...