Getting Started with Merlin and the MovieLens Dataset#
The MovieLens25M is a popular dataset for recommender systems and is used in academic publications. Most users are familiar with the dataset and we will teach the basic concepts of Merlin:
Learn to use NVTabular for using GPU-accelerated feature engineering and data preprocessing.
Become familiar with the high-level API for NVTabular.
Use single-hot/multi-hot categorical input features with NVTabular.
Train a Merlin Model with Tensorflow.
Use the Merlin Dataloader with PyTorch.
Train a HugeCTR model.
Serve recommendations from the Tensorflow model with the Triton Inference Server.
Explore the following notebooks: