Machine Learning In Production | By Andrew Kelleher & Adam Kelleher | 1st Edition | Pearson Publication ( English Medium )

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Machine Learning In Production | By Andrew Kelleher & Adam Kelleher | 1st Edition | Pearson Publication ( English Medium ).

Machine Learning in Production by Andrew Kelleher and Adam Kelleher offers a deep and practical guide to deploying machine learning systems in real-world production environments. Geared toward data scientists, engineers, and technical leaders, the book focuses on bridging the gap between machine learning theory and operational deployment at scale.

Covering end-to-end processes, the authors emphasize the lifecycle of machine learning models — from data preparation and model development to deployment, monitoring, and maintenance. The book discusses challenges such as model drift, scalability, reproducibility, and infrastructure design, all while keeping a sharp focus on business value and impact.

With real-world practices, architectural guidance, and implementation strategies, this book helps readers build robust and reliable ML systems that perform effectively in live environments. It is an essential resource for anyone looking to operationalize machine learning responsibly and efficiently.

Key Features:

Practical focus on ML deployment in production systems

Covers infrastructure, pipelines, and lifecycle management

Addresses reliability, scalability, and monitoring of ML models

Real-world insights from industry-experienced authors

Ideal for data scientists, MLOps engineers, and AI practitioners

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Product Details

SKU / BOOK Code:	Pearson-Mach-Lear-Produ-(E)
Publisher:	Pearson Publication
Author:	Andrew Kelleher & Adam Kelleher
Binding Type:	Paperback
No. of Pages:	256
ISBN-10:	9389588502
ISBN-13:	978-9389588507
Edition:	1st Edition
Language:	English Medium
Publish Year:	2025-05
Weight (g):	1500
Product Condition:	New
Reading Age:	Above 10 Years
Country of Origin:	India
Genre:	Engineering Books
Manufacturer:	Pearson Publication
Importer:	Pearson Publication
Packer:	Fullfilled by Supplier

Product Description

Machine Learning In Production | By Andrew Kelleher & Adam Kelleher | 1st Edition | Pearson Publication ( English Medium ).

Machine Learning in Production by Andrew Kelleher and Adam Kelleher offers a deep and practical guide to deploying machine learning systems in real-world production environments. Geared toward data scientists, engineers, and technical leaders, the book focuses on bridging the gap between machine learning theory and operational deployment at scale.

Covering end-to-end processes, the authors emphasize the lifecycle of machine learning models — from data preparation and model development to deployment, monitoring, and maintenance. The book discusses challenges such as model drift, scalability, reproducibility, and infrastructure design, all while keeping a sharp focus on business value and impact.

With real-world practices, architectural guidance, and implementation strategies, this book helps readers build robust and reliable ML systems that perform effectively in live environments. It is an essential resource for anyone looking to operationalize machine learning responsibly and efficiently.

Key Features:

Practical focus on ML deployment in production systems

Covers infrastructure, pipelines, and lifecycle management

Addresses reliability, scalability, and monitoring of ML models

Real-world insights from industry-experienced authors

Ideal for data scientists, MLOps engineers, and AI practitioners

Search Key - Machine Learning in Production book summary, , Andrew Kelleher Machine Learning in Production, , Adam Kelleher ML in production insights, , Machine Learning in Production Pearson edition, , Machine Learning in Production key concepts, , Machine Learning in Production chapter overview, , Machine Learning in Production real world guide, , ML in Production book by Andrew and Adam Kelleher, , Machine Learning in Production 1st edition details, , Machine Learning in Production implementation guide, , ML in production lifecycle explained, , Machine Learning in Production model deployment, , ML in Production use cases, , Machine Learning in Production infrastructure, , ML in Production monitoring strategies, , Machine Learning in Production best practices, , Deploying machine learning models book, , Machine Learning in Production practical examples, , ML model reliability from Andrew Kelleher, , Machine Learning in Production architecture, , ML pipelines explained Andrew Kelleher, , Machine Learning in Production productionalizing models, , Operational machine learning book, , MLOps concepts from Machine Learning in Production, , Machine Learning in Production concepts for engineers, , Andrew and Adam Kelleher machine learning operations, , Machine Learning in Production for professionals, , Machine Learning in Production course companion, , ML deployment challenges discussed in book, , ML in Production book Pearson India, Publisher ‏ : ‎ Pearson Education (1 January 2020), Language ‏ : ‎ English, Paperback ‏ : ‎ 256 pages, ISBN-10 ‏ : ‎ 9389588502, ISBN-13 ‏ : ‎ 978-9389588507.

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