Introducing MLOps

Introducing MLOps looks at why so many analytics and machine learning (ML) models never make it into production. The book states that more than half of them stay out, and that the barriers are both technical and organizational. It sets out the key ideas of MLOps for data scientists and application engineers, so that their work can drive real business change and be maintained and improved over time. Nine experts share lessons drawn from MLOps applications around the world.

Why You Should Read?

• Learn the key concepts of MLOps and how they help models drive real business change.
• Understand why many models never reach production, including the technical and the organizational barriers in the way.
• Gain guidance on maintaining and improving models over time, written for data scientists and application engineers.