Unifying Twitter around a single ML platform
Twitter is a large company with many ML use cases. Historically, there have been many ways to productionize ML at Twitter. Yi Zhuang and Nicholas Leonard describe the setup and benefits of a unified ML platform for production and explain how the Twitter Cortex team brings together users of various ML tools.
| Talk Title | Unifying Twitter around a single ML platform |
| Speakers | Yi Zhuang (Twitter), Nicholas Leonard (Twitter) |
| Conference | O’Reilly Artificial Intelligence Conference |
| Conf Tag | Put AI to Work |
| Location | New York, New York |
| Date | April 16-18, 2019 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Twitter is a large company with many ML use cases. Historically, there have been many ways to productionize ML at Twitter—TensorFlow, Lua Torch, PyTorch, scikit-learn, VW, XGBoost, and several other Twitter in-house solutions. Yi Zhuang and Nicholas Leonard describe the setup and benefits of a unified ML platform for production and explain how the Twitter Cortex team brings together users of various ML tools. Topics include:
