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Lynda - Machine Learning and AI Foundations: Recommendations
Categories: Tutorials
Lynda - Machine Learning and AI Foundations: Recommendations - 563030
Lynda - Machine Learning and AI Foundations: Recommendations
This project-based course shows programmers of all skill levels how to use machine learning to build programs that can make recommendations. In this course, Adam Geitgey walks you through a hands-on lab building a recommendation system that is able to suggest similar products to customers based on past products they have reviewed or purchased. The system can also identify which products are similar to each other.


Table of Contents

  • Introduction
  • 1. The Basics of Making Recommendations
  • 2. Ways of Making Recommendations
  • 3. Getting to Know Our Tools
  • 4. Building the Framework for Our Recommendation System
  • 5. Collaborative Filtering with Matrix Factorization
  • 6. Testing Our System
  • 7. Using the Recommendation System in a Real World Program
  • Conclusion

    • Lynda - Machine Learning and AI Foundations: Recommendations


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