Robust, End-to-end Online ML Applications with Flyte, Pandera and Streamlit | PyData Global 2021

Robust, End-to-end Online Machine Learning Applications with Flyte, Pandera and Streamlit Speaker: Niels Bantilan Summary The MLOps ecosystem is maturing to the point where data scientists have the tools they need to ship model-driven products, which would have otherwise required considerable dev ops and frontend engineering efforts. In particular, online machine learning is an area with a growing number of applications, and this talk will dive into building such applications using Flyte, Pandera, and Streamlit. Description The MLOps ecosystem is maturing to the point where machine learning engineers and data scientists have the tools that they need to prototype and ship ML-driven products that would have otherwise involved considerable dev ops and frontend engineering efforts. As a case in point, online learning is an area of machine learning with a growing number of practical applications, such as supply chain management, predictive maintenance, and climate prediction. Online l