You're reading from Machine Learning Engineering with MLflow

Product typeBook

Published inAug 2021

PublisherPackt

ISBN-139781800560796

Edition1st Edition

Tools

Maven

Concepts

Machine Learning

Author (1)

Natu Lauchande

Section 4: Advanced Topics

This section covers assorted topics on advanced usage of MLflow, allowing you to learn how to scale MLflow in big data environments and to meet high computing demands. We will cover advanced use cases to ensure broad coverage of the type of models and use cases to be discussed, alongside MLflow internals and how to contribute to it.

The following chapters are covered in this section:

Chapter 10, Scaling Up Your Machine Learning Workflow
Chapter 11, Performance Monitoring
Chapter 12, Advanced Topics with MLFlow

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Machine Learning Engineering with MLflow

Published in: Aug 2021Publisher: PacktISBN-13: 9781800560796

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Author (1)

Natu Lauchande

Natu Lauchande is a principal data engineer in the fintech space currently tackling problems at the intersection of machine learning, data engineering, and distributed systems. He has worked in diverse industries, including biomedical/pharma research, cloud, fintech, and e-commerce/mobile. Along the way, he had the opportunity to be granted a patent (as co-inventor) in distributed systems, publish in a top academic journal, and contribute to open source software. He has also been very active as a speaker at machine learning/tech conferences and meetups.
Read more about Natu Lauchande

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