Book

Machine Learning Engineering with MLflow

Machine Learning Engineering with MLflow is a step-by-step guide that will have you up and running, and productive in no time with MLflow using the most effective machine learning engineering approach. You will also learn how to scale MLflow in big data environments and for high computing demands.

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Difficulty Level

Intermediate

Completion Time

8h16m

Language

English

About Book

Who Is This Book For?

This book is for data scientists, machine learning engineers, and data engineers who want to gain hands-on machine learning engineering experience and learn how they can manage an end-to-end machine learning life cycle with the help of MLflow. Intermediate-level knowledge of the Python programming language is expected.

Book content

chapters 8h16m total length

Introducing MLflow

Your Machine Learning Project

Your Data Science Workbench

Experiment Management in MLflow

Managing Models with MLflow

Introducing ML Systems Architecture

Data and Feature Management

Training Models with MLflow

Deployment and Inference with MLflow

Scaling Up Your Machine Learning Workflow

Performance Monitoring

Advanced Topics with MLflow

Related Resources

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