Decision forests in TensorFlow

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. Register for I/O → https://goo.gle/2OTj06K Speakers: Josh Gordon, Mathieu Guillame-bert Watch more: TensorFlow at Google I/O 2021 Playlist → https://goo.gle/io21-TensorFlow All Google I/O 2021 Technical Sessions → https://goo.gle/io21-technicalsessions All Google I/O 2021 Sessions → https://goo.gle/io21-allsessions Subscribe to TensorFlow → https://goo.gle/TensorFlow #GoogleIO