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The Machine Learning Solutions Architect Handbook ; (Record no. 34604)

MARC details
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 978-1801072168
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Author Mark PIN-M
100 ## - MAIN ENTRY--AUTHOR
Author Name Ping, David
245 ## - TITLE STATEMENT
Title The Machine Learning Solutions Architect Handbook ;
Sub-Title Create machine learning platforms to run solutions in an enterprise setting
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of Publication Birmingham UK,.
Name of publisher, distributor, etc. Packt Publishing
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Pages 415p.
500 ## - GENERAL NOTE
General note When equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one.<br/><br/>You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch.<br/><br/>Using open-source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development.<br/><br/>By the end of this book, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Include Index.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Not for loan Collection code Permanent Location Current Location Shelving Location Date acquired Source of acquisition Price Full Call Number Accession No./Barcode Date last seen Koha item type
    Computer Science Air University Kharian Campus Library Air University Kharian Campus Library Cyber Security 02/17/2025 Ali Book Service 2110.00 006.31 PIN-M AUKHP0447 03/13/2025 Book
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