Design of Recommendation Systems - Recommender Systems Using Deep Learning Explained
Offered By: Data Science Dojo via YouTube
Course Description
Overview
Explore the fundamentals of recommender systems and their applications in this comprehensive 59-minute video. Delve into the various types of recommender systems, popular machine learning models, and performance metrics. Learn how to design a baseline recommender system and understand high-level considerations for industry-scale implementations. Gain insights into real-world recommender systems used by major companies. Cover topics including background, motivation, types of recommender systems, recommendation models, and performance metrics design. Enhance your understanding of how these systems are revolutionizing content discovery and improving customer satisfaction across industries like e-commerce, entertainment, and social media.
Syllabus
Background
Introduction and Motivation
Types of Recommender Systems
Recommendation Models
Performance Metrics and its Designs
Taught by
Data Science Dojo
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent