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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
Concepts
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. If you don’t already have it installed, please follow the instructions at https://docs.docker.com/compose/install/.

  • Access to Git in the command line, and installed as described in this Uniform Resource Locator (URL): https://git-scm.com/book/en/v2/Getting-Started-Installing-Git.
  • Access to a bash terminal (Linux or Windows). 
  • Access to a browser.
  • Python 3.5+ installed.
  • MLflow installed locally, as described in Chapter 1, Introducing MLflow.
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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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