Machine Learning System Design (Hardcover)

Valerii Babushkin

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Language: English

Published by Manning Publications, New York, 2025

1633438759 / 9781633438750

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Hardcover. Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems.In Machine Learning System Design: With end-to-end examples you will learn: The big picture of machine learning system designAnalyzing a problem space to identify the optimal ML solutionAce ML system design interviewsSelecting appropriate metrics and evaluation criteriaPrioritizing tasks at different stages of ML system designSolving dataset-related problems through data gathering, error analysis, and feature engineeringRecognizing common pitfalls in ML system developmentDesigning ML systems to be lean, maintainable, and extensible over time Machine Learning System Design: With end-to-end examples is a practical guide for planning and designing successful ML applications. It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale. Authors Arseny Kravchenko and Valeri Babushkin have filled this unique handbook with campfire stories and personal tips from their own extensive careers. You'll learn directly from their experience as you consider every facet of a machine learning system, from requirements gathering and data sourcing to deployment and management of the finished system. Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Seller Inventory # 9781633438750

Title
Machine Learning System Design (Hardcover)
Author
Valerii Babushkin
Publisher
Manning Publications, New York
Publication year
2025
Condition
new
Binding
Hardcover
Language
English
ISBN 10
1633438759
ISBN 13
9781633438750

AussieBookSeller

Truganina, VIC, Australia

5-star seller

AbeBooks seller since June 22, 2007

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