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

Who this book is for

This book is geared toward software, machine learning, and data science professionals or enthusiasts who want to explore the engineering side of machine learning systems in production. Machine learning practitioners will be able to put their knowledge to work with this practical guide to MLflow. The book takes a hands-on approach to implementation and associated methodologies that will have you up and running with MLflow in no time. The basic requirements for this book are experience in Python programming and knowledge of the Bash terminal and commands.

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Machine Learning Engineering with MLflow

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

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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