Building, Adopting, and Maturing LinkedIn's Machine Learning Platform with Ya Xu - #453
Analysis
This article from Practical AI discusses the development of LinkedIn's machine learning platform with Ya Xu, Head of Data Science at LinkedIn. The conversation covers the three key phases of platform development: building, adoption, and maturation. It highlights the importance of avoiding "hero syndrome" and delves into the tools, organizational structure, and the use of differential privacy for security. The article provides insights into the practical aspects of building and scaling a machine learning platform within a large organization like LinkedIn.
Key Takeaways
- •The article emphasizes a phased approach to platform development: building, adoption, and maturation.
- •It highlights the importance of organizational structure and avoiding individual "hero" efforts.
- •The discussion touches upon the use of differential privacy for security in machine learning platforms.
Reference
“We cover a ton of ground with Ya, starting with her experiences prior to becoming Head of DS, as one of the architects of the LinkedIn Platform.”