Abstract: In this talk, I will build a real-world machine learning pipeline using 4 key open source projects: KubeFlow, TensorFlow Extended (TFX), Airflow, and MLflow
Described in the 2017 paper, TFX is used internally by thousands of Google data scientists and engineers across every major product line within Google.
KubeFlow is a modern, end-to-end pipeline orchestration framework that embraces the latest AI best practices including hyper-parameter tuning, distributed model training, and model tracking.
Airflow is the most-widely used pipeline orchestration framework in machine learning.
MLflow is a lightweight experiment-tracking server open sourced by Databricks, the creators of Apache Spark.
Bio: Coming Soon!