In this session, we will cover the fundamentals of recommendation systems and how TensorFlow Recommenders simplify the process of building recommendation models.

We will prepare data for training, define user and item embeddings and train a simple recommendation model using TensorFlow Recommenders. We will then discuss evaluating and validating the recommendation system we have built.

This session is curated for beginners looking for an accessible introduction to recommendation systems and experienced practitioners seeking to enhance their knowledge and streamline their workflows using TensorFlow Recommenders.