Accelerate machine learning pipelines into production “Building Machine Learning Pipelines”

Building machine learning models in the lab is one thing—but what really matters is what happens in production. This comprehensive guide takes you on a deep dive into techniques and tools to build and deploy ML pipelines that are automated, scalable, and reproducible.

Topics include:

• Increasing ML pipelines quality through automation tools like Apache Beam, Apache AirFlow, and Kubeflow
• Reducing the effort of deploying and maintaining pipelines by building them to be production-ready
• Managing ML automation within an enterprise production environment