Implementing a Latent Factor Model (Part 1)

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Python Programming, Big Data Products, Recommender Systems

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從本節課中
Implementing Recommender Systems
This week, we will learn how to implement a similarity-based recommender, returning predictions similar to an user's given item. We will cover how to optimize these models based on gradient descent and Jaccard similarity.

教學方

  • Ilkay Altintas

    Ilkay Altintas

    Chief Data Science Officer
  • Julian McAuley

    Julian McAuley

    Assistant Professor

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