Explore the cutting-edge applications of machine learning in personalization during this 58-minute ECE Seminar Series lecture on Modern Artificial Intelligence. Join speaker Tony Jebara from Netflix as he delves into collaborative ranking, prediction techniques, and causal learning. Gain insights into the implementation of machine learning algorithms for personalization on platforms like Netflix, covering topics such as batch and online learning, bandits, and context bandits. Discover how simple confounders impact decision-making processes and learn about the intricacies of the Netflix homepage algorithm. Engage with real-world examples and participate in a Q&A session to deepen your understanding of this rapidly evolving field.
Overview
Syllabus
Introduction
Machine Learning for Personalization
Collaborative Ranking
Prediction
Causal Learning
Simple confounders
Summary
Netflix Homepage
Batch Machine Learning
Online Learning
Bandits
Context Bandit
Example
Questions
Taught by
NYU Tandon School of Engineering
Tags
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