Accelerating Random Forests Up to 45x Using cuML

Originally published at: https://developer.nvidia.com/blog/accelerating-random-forests-up-to-45x-using-cuml/

This post was originally published on RAPIDsai. Random forests are a popular machine learning technique for classification and regression problems. By building multiple independent decision trees, they reduce the problems of overfitting seen with individual trees. In this post, I review the basic random forest algorithms, show how their training can be parallelized on NVIDIA…