Leveraging ML Recommendation Models to Improve Customer Engagement
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Explore how machine learning recommendation models can enhance customer engagement in this informative talk from the Toronto Machine Learning Series. Discover the power of personalization in creating frictionless, curated experiences across digital channels for customers. Gain insights into Amazon.com's pioneering approach to personalization, developed over two decades. Delve into retail-specific personalization use cases and receive a technical overview of Amazon Personalize, the machine learning technology behind Amazon.com's real-time personalized recommendations. Examine a simulated shopping experience through the Retail Demo Store and uncover the algorithms driving Amazon Personalize. Participate in an interactive session with a Q&A opportunity, suitable for attendees of all ML expertise levels.
Syllabus
Leveraging ML Recommendation Models to Improve Customer Engagement
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
Introduction to Amazon PersonalizePluralsight Transform Customer Experience with Personalization
Pluralsight Twitch Series: AWS Power Hour Machine Learning (Vietnamese)
Amazon Web Services via AWS Skill Builder Twitch Series: AWS Power Hour Amazon Personalize
Amazon Web Services via AWS Skill Builder Getting Started with Amazon Personalize
Amazon Web Services via AWS Skill Builder