Getting Started with Movielens

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 NVTabular:

• Learning NVTabular for using GPU-accelerated ETL (Preprocess and Feature Engineering)

• Getting familiar with NVTabular’s high-level API

• Using single-hot/multi-hot categorical input features with NVTabular

• Using NVTabular dataloader with TensorFlow Keras model

• Using NVTabular dataloader with PyTorch

• Download and Convert
• ETL with NVTabular
• Training with TensorFlow
• Training with PyTorch