Web Scale Engineering for Machine Learning with Sharath Rao - TWiML Talk #40
Published:Aug 4, 2017 00:00
•1 min read
•Practical AI
Analysis
This article summarizes an interview with Sharath Rao, a Tech Lead Manager & Machine Learning Engineer at Instacart, on the "TWiML Talk" podcast. The conversation focuses on practical lessons and patterns Rao has learned while building web-scale data products using machine learning, specifically for Instacart's search and recommendation systems. The article highlights Rao's familiarity with the podcast and mentions a brief discussion about an upcoming TWiML Paper Reading Meetup. It also acknowledges the presence of background noise in the recording. The article serves as a brief introduction to the podcast episode's content.
Key Takeaways
- •The interview focuses on practical applications of machine learning in a web-scale environment.
- •Sharath Rao shares insights from his experience at Instacart, particularly regarding search and recommendation systems.
- •The podcast episode offers lessons learned from building production-ready machine learning models.
Reference
“My conversation with him digs into some of the practical lessons and patterns he’s learned by building production-ready, web-scale data products based on machine learning models, including the search and recommendation systems at Instacart.”