Machine Learning Engineering in Action
$155.99
- Paperback
300 pages
- Release Date
14 April 2022
Summary
Machine Learning Engineering in Action: Build Robust ML Systems
Machine Learning Engineering in Action lays out an approach to building deployable, maintainable production machine learning systems. You will adopt software development standards that deliver better code management, and make it easier to test, scale, and even reuse your machine learning code!
You will learn how to plan and scope your project, manage cross-team logistics that avoid fata…
Book Details
| ISBN-13: | 9781617298714 |
|---|---|
| ISBN-10: | 1617298719 |
| Author: | Ben Wilson |
| Publisher: | Manning Publications |
| Imprint: | Manning Publications |
| Format: | Paperback |
| Number of Pages: | 300 |
| Release Date: | 14 April 2022 |
| Weight: | 960g |
| Dimensions: | 234mm x 186mm x 34mm |
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What They're Saying
Critics Review
“Anice view on practical data science and machine learning. Great reading fornewbies, some interesting views for seasoned practitioners.” Johannes Verwijnen
“Amust read for those looking to balance the planning and experimentationlifecycle.” Jesús Antonino Juárez Guerrero
“Apractical book to help engineers understand the workflow of machine learningprojects.” Xiangbo Mao
“Donot implement your ML model into production without reading this book!” Lokesh Kumar
About The Author
Ben Wilson
Ben Wilson has worked as a professional data scientist for more than ten years. He currently works as a resident solutions architect at Databricks, where he focuses on machine learning production architecture with companies ranging from 5-person startups to global Fortune 100. Ben is the creator and lead developer of the Databricks Labs AutoML project, a Scala-and Python-based toolkit that simplifies machine learning feature engineering, model tuning, and pipeline-enabled modelling.
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