Building a Recommendation System using Deep Learning (A Beginner’s Guide)

5 Modules14 Lessons36 Learners

Build deep learning–powered recommendation systems from scratch. Learn filtering methods, embeddings, neural models, evaluation, and deployment.

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Course Curriculum

Module 1 Introduction to Recommendation Systems

What is a Recommendation System?

How Recommendation Systems Work

Types of Recommendation Systems

Module 2Traditional Recommendation Techniques

Module 3Deep Learning for Recommendations

Neural Collaborative Filtering (NCF)

Autoencoder-Based Recommenders

Sequence-Based Recommendation Systems

Module 4Hybrid and Context-Aware Systems

Hybrid Deep Recommendation Models

Contextual & Knowledge Graph-Based Recommendations

Module 5End-to-End Project and Deployment

Case Study — MovieLens Recommender

Deploying a Recommendation API

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Summary

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