Matrix Factorization and Advanced Techniques
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Matrix Factorization and Advanced Techniques

أبرز محتويات الدورة

In this course you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems. Starting with basic matrix factorization, you will understand both the intuition and the practical details of building recommender systems based on reducing the dimensionality of the user-product preference space. Then you will learn about techniques that combine the strengths of different algorithms into powerful hybrid recommenders.

حول مقدم الدورة

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الطبع بواسطة

  • self
    التعلم الذاتي
  • dueration
    المدة 16 ساعات
  • domain
    الاختصاص علم البيانات والذكاء الاصطناعي
  • subs
    Monthly Subscription
    Course is included in
    1. الباقة الإبتدائية @ AED 99 + VAT
    2. الباقة الاحترافية @ AED 149 + VAT
  • fee
    Buy Now Option not available
  • language
    اللغة الإنكليزية