Recommendation System for E-commerce with Deep Learning

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About Course

  • Tech Stack: Python (PyTorch, TensorFlow), Apache Spark, Elasticsearch, GCP (BigQuery, AI Hub), Flask
  • Objective: Build an AI-powered recommendation engine for an e-commerce platform using deep learning (matrix factorization, collaborative filtering, and hybrid models). The system should provide personalized product recommendations and optimize for user behavior analysis.
  • Skills Needed: Recommendation algorithms (collaborative filtering, matrix factorization), deep learning, big data processing (Spark), cloud infrastructure, elastic search for query optimization.

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