Building Decision-Making Assistants: Introduction to Recommendation Systems
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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.
Syllabus
Let's talk about Recommendation Systems! |Mihailo Joksimovic | DSC Europe 2022
Taught by
Data Science Conference