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Mastering Retail Recommendation Models with Microsoft Fabric

Photo of Matthias Falland | MVP
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Matthias Falland |.
Mastering Retail Recommendation Models with Microsoft Fabric

Details

Dive into the world of data science and machine learning with our upcoming meetup on retail recommendation systems! We'll explore an end-to-end example using Microsoft Fabric's Synapse Data Science experience, focusing on building a model for online book recommendations.
Key Topics:

  • Data Upload: Learn to upload and manage data in a lakehouse.
  • Exploratory Analysis: Discover techniques to analyze and visualize your data.
  • Model Training: Master the ALS matrix factorization algorithm for collaborative filtering.
  • Model Evaluation & Prediction: Understand how to evaluate model performance and make accurate predictions.

Hands-On Demonstration: Witness a step-by-step demonstration of the process, from data upload to making predictions.
Whether you're a data science novice or a seasoned professional, this session offers valuable insights and practical knowledge to enhance your skills. Don't miss this opportunity to learn, network, and grow with fellow data enthusiasts.

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Data & AI for Intelligent Cloud Hamburg
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