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You're reading from  Machine Learning Engineering with MLflow

Product typeBook
Published inAug 2021
PublisherPackt
ISBN-139781800560796
Edition1st Edition
Tools
Maven
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Machine Learning
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Author (1)
Natu Lauchande
Natu Lauchande
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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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Technical requirements

For this chapter, you will need the following prerequisites:

  • The latest version of Docker installed on your machine. If you don't already have it installed, please follow the instructions at https://docs.docker.com/get-docker/.
  • The latest version of docker-compose installed. To do this, please follow the instructions at https://docs.docker.com/compose/install/.
  • Access to Git in the command line, which can be installed as described at https://git-scm.com/book/en/v2/Getting-Started-Installing-Git.
  • Access to a Bash terminal (Linux or Windows).
  • Access to a browser.
  • Python 3.8+ installed.
  • The latest version of your ML platform installed locally as described in Chapter 3, Your Data Science Workbench.
  • An AWS account configured to run the MLflow model.
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Machine Learning Engineering with MLflow
Published in: Aug 2021Publisher: PacktISBN-13: 9781800560796
© 2021 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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