Recommender Systems: An Applied Approach using Deep Learning - Overview

This module covers the application of deep learning in recommender systems. It begins with an overview of deep learning methodologies, followed by a discussion on the benefits and challenges of using deep learning models. The module then explores recommendation inference and a generic deep learning-based recommendation approach. It introduces neutral collaborative filtering and variational autoencoders for collaborative filtering. Finally, the module concludes with the development of a deep learning recommendation system project.

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