Recommender Systems: An Applied Approach using Deep Learning - Module Introduction

This video tutorial covers the use of deep learning methodologies in recommender systems. It begins with an introduction to recommender systems and a related course on machine learning methodologies. The tutorial then delves into the need for deep learning in recommender systems, comparing it with traditional machine learning approaches. It explores various deep learning models and provides a detailed discussion of two specific models. The tutorial concludes with a practical session on building a recommender system using Python and deep learning techniques, aiming to equip learners with the skills to develop product recommendation systems.

What are the basics of recommender systems that are covered in the course?

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Why is there a need for using deep learning in recommender systems?

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What deep learning models are discussed for recommender systems?

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How can deep learning methodologies be built for recommender systems?

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What programming language is used to develop the recommender system in the course?

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