Deep Learning Recommender Systems Summit

Free Digital Event,
Hosted by NVIDIA

As machine learning (ML) engineers and data scientists, we understand that building, training, fine-tuning, and deploying recommenders is an incredibly challenging task. Scaling recommender systems to impact thousands, millions, and potentially billions of people with seemingly endless interactions is not inconsequential. While we have a hybrid of tools, packages, and methods that we rely upon for our workflows, adding deep learning (DL) techniques and methods will help scale recommenders. DL is particularly useful with large embeddings, compute-intensive recommender models, or large, always-changing, data sets.

During this summit, you’ll hear from fellow ML engineers and data scientists on best practices, learnings, and insights for building and deploying highly effective DL recommender systems.

Watch the event on-demand.