Real-time Machine Learning - Architecture and Challenges

Explore the architecture and challenges of real-time machine learning in this insightful 40-minute conference talk by Chip Huyen, CEO of Claypot AI, presented at the Toronto Machine Learning Series (TMLS). Discover the importance of fresh data in machine learning applications and gain valuable insights into various types of online prediction architectures. Delve into the complexities and obstacles faced when implementing real-time machine learning systems, and learn how to leverage up-to-date information for more accurate and effective predictions.

Real-time Machine Learning: Architecture and Challenges