Implementing MLOps in the Enterprise, 9781098136581
Paperback
Scale data science: Build real-world machine learning pipelines for enterprise success.

Implementing MLOps in the Enterprise

A Production-First Approach

$155.98

  • Paperback

    350 pages

  • Release Date

    31 October 2023

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Summary

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production.

Authors Yaron Haviv and Noah Gift take a production-first appr…

Book Details

ISBN-13:9781098136581
ISBN-10:1098136586
Author:Yaron Haviv, Noah Gift
Publisher:O'Reilly Media
Imprint:O'Reilly Media
Format:Paperback
Number of Pages:350
Release Date:31 October 2023
Weight:654g
Dimensions:233mm x 178mm
About The Author

Yaron Haviv

Yaron Haviv is a serial entrepreneur who has been applying his deep technological experience in data, cloud, AI and networking to leading startups and enterprise companies since the late 1990s. As the co-founder and CTO of Iguazio, Yaron drives the strategy for the company’s data science platform and leads the shift towards real- time AI. He also initiated and built Nuclio, a leading open source serverless platform with over 4,000 Github stars and MLRun, Iguazio’s open source MLOps orchestration framework.

Noah Gift is the founder of Pragmatic A.I. Labs. Noah Gift lectures at MSDS, at Northwestern, Duke MIDS Graduate Data Science Program, the Graduate Data Science program at UC Berkeley, the UC Davis Graduate School of Management MSBA program, UNC Charlotte Data Science Initiative and University of Tennessee (as part of the Tennessee Digital Jobs Factory). He teaches and designs graduate machine learning, MLOps, A.I., Data Science courses, and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities include leading a multi-cloud certification initiative for students.

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