Democratizing Machine Learning at Twitter
Twitter has rapidly evolved in how we do Machine Learning over the last few years. We rapidly evolved from making incremental improvements to our existing Logistic Regression models to a wave of new Deep Learning architectures. At the same time, we were faced with the challenge of uneven distribution of ML expertise across the company. This is the story of the Cortex team that enabled this machine learning transformation across the entire company by making a set of careful strategic investments.
Outline/structure of the Session
- In the beginning
- Benefits of Centralized Expertise
- Evils of Centralized Services
- Decentralization & Democratization
- Standardization & Efficiency
A deep understanding of technical and organizational challenges related to machine learning adoption at scale.
Leaders who want to introduce machine learning within their organizations.