Explore recommendation systems in this 32-minute conference talk from Data Science Conference Europe 2022, where Mihailo Joksimovic delves into building decision-making assistants. Begin with an overview of data classification algorithms before advancing to key concepts including sparse matrices, content-based filtering, and collaboration models. Master cutting-edge matrix factorization techniques like SVD and PCA currently employed by Netflix. Learn how these sophisticated systems assist in automated decision-making processes and enhance user experiences through personalized recommendations.
Building Decision-Making Assistants: Introduction to Recommendation Systems
Data Science Conference via YouTube
Overview
Syllabus
Let's talk about Recommendation Systems! |Mihailo Joksimovic | DSC Europe 2022
Taught by
Data Science Conference
Related Courses
-
Building Recommender Systems with Machine Learning and AI
-
Building Recommendation Engines in Python
-
Building Recommender Systems with Machine Learning and AI
-
Advanced Recommender Systems
-
Recommender Systems with Machine Learning
-
Building Robust and Scalable Recommendation Engines for Online Food Delivery
