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Building a Recommendation System with Python Machine Learning & AI

Via LinkedIn Learning

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Overview

"Building a Recommendation System with Python Machine Learning & AI" is a practical course designed for developers, data scientists, and AI enthusiasts eager to create personalized recommendation systems using Python. This course guides learners through the foundational concepts, algorithms, and coding techniques needed to build effective recommender systems. You will start by exploring different types of recommendation approaches, including collaborative filtering, content-based filtering, and hybrid methods. The course covers essential machine learning concepts such as similarity metrics, matrix factorization, and model...

Syllabus

Introduction

  • Welcome
  • Using the exercise files

1. Simple Approaches to Recommendation Systems

  • Introducing core concepts of recommendation systems
  • Popularity-based recommenders
  • Evaluating similarity based on correlation

2. Machine Learning Recommendation Systems

  • Classification-based collaborative filtering
  • Model-based collaborative filtering systems
  • Content-based recommender systems
  • Evaluating recommendation systems

Conclusion

  • Next steps
Building a Recommendation System with Python Machine Learning & AI
Go to Class

via LinkedIn Learning

1 hour 39 minutes

Certificate Available

English

On-Demand

Instructor

Xuemin Jin

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