Recommender Systems

Instructor: Jaekwang KIM

What you'll learn

  •   Understand the basic concept of recommender systems.
  •   Understand the Collaborative Filtering.
  •   Understand the Recommender System with Deep Learning.
  •   Understand the Further Issues of Recommender Systems.
  • Skills you'll gain

  •   AI Personalization
  •   Algorithms
  •   Unsupervised Learning
  •   Predictive Modeling
  •   Data Processing
  •   Artificial Neural Networks
  •   Machine Learning
  •   Deep Learning
  •   Machine Learning Algorithms
  •   Scalability
  •   Analysis
  •   Applied Machine Learning
  •   Data Mining
  • There are 4 modules in this course

    a) understand the basic concept of recommender systems. b) understand the Collaborative Filtering. c) understand the Recommender System with Deep Learning. d) understand the Further Issues of Recommender Systems. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, conditional probability, and basic machine learning algorithms.

    Collaborative Filtering

    Recommender System with Deep Learning

    Further Understanding of Recommender Systems

    Explore more from Data Analysis

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