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
Experience SAP Cloud for CustomerSAP Learning Requerimientos, planeación, ejecución y medición de estrategias para redes sociales
Tecnológico de Monterrey via Coursera Business Fundamentals: Customer Engagement
The Open University via FutureLearn Experience SAP Hybris Solutions
SAP Learning Innovation & Entrepreneurship - From Basics to Open Innovation
EIT Digital via Coursera