Design an ML Recommendation Engine | System Design

Visit Our Website: https://interviewpen.com/?utm_campaign=ml Join Our Discord (24/7 help): https://discord.gg/Qy85PT9wj6 Like & Subscribe: https://youtube.com/@interviewpen Tons of modern software services, such as social media and ecommerce, include systems for recommending content to users. This video dives into the details of how to deploy a machine learning algorithm at scale for recommendations, and discusses how these systems are trained and used on a recurring basis. If you liked this video and want to learn more about fundamental systems and how they can be used to solve problems, check out our full course on https://interviewpen.com/?utm_campaign=ml ! Table of Contents: 0:00 - Introduction 0:43 - ML Inputs and Outputs 2:07 - Training 2:58 - Training: Tracking Server 3:47 - Training: Incremental 5:05 - Training: Workflow Orchestration 6:01 - Inference: API 6:40 - Inference: Caching 8:03 - Next Steps Socials: Twitter: https://twitter.com/InterviewPen LinkedIn: https://www.linkedin.com/company/interviewpen Website: https://interviewpen.com/?utm_campaign=ml