Decision forests in TensorFlow | Session

Neural networks are everywhere these days, but they’re not the only type of model you should consider when you’re getting started with machine learning. Tree-based models like decision trees and random forests are much simpler to train and easier to interpret. In this Session, we introduce TensorFlow Decision Forests, a new library to help you train and interpret tree-based models using familiar Keras API inside TensorFlow. Speaker(s): Josh Gordon, Mathieu Guillame-bert Watch more: TensorFlow at Google I/O 2021 Playlist → All Google I/O 2021 Technical Sessions → All Google I/O 2021 Sessions → Subscribe to TensorFlow → #GoogleIO #ML #AI product: TensorFlow - General; event: Google I/O 2021; fullname: Josh Gordon, Mathieu Guillame-bert; re_ty: Premiere;