
Implementing MLOps in the Enterprise
A Production-First Approach
$155.98
- Paperback
350 pages
- Release Date
31 October 2023
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 |
You Can Find This Book In
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.
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.




