Machine Learning Engineering with Python Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples (Record no. 701302)

MARC details
000 -LEADER
fixed length control field 03068nam a22002417a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230221s2021 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781801079259
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9781801079259
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number MCM
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name McMahon, Andrew P.
9 (RLIN) 673844
Relator term author
245 ## - TITLE STATEMENT
Title Machine Learning Engineering with Python Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Birmingham :
Name of publisher, distributor, etc. Packt Publishing,
Date of publication, distribution, etc. c2021
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 260 p.
Other physical details : ill
500 ## - GENERAL NOTE
General note About the Author<br/><br/> Andrew P. McMahon<br/><br/> Andrew Peter (Andy) McMahon is a machine learning engineer and data scientist with experience of working in, and leading, successful analytics and software teams. His expertise centers on building production-grade ML systems that can deliver value at scale. He is currently ML Engineering Lead at NatWest Group and was previously Analytics Team Lead at Aggreko.<br/><br/> He has an undergraduate degree in theoretical physics from the University of Glasgow, as well as master's and Ph.D. degrees in condensed matter physics from Imperial College London. In 2019, Andy was named Data Scientist of the Year at the International Data Science Awards. He currently co-hosts the AI Right podcast, discussing hot topics in AI with other members of the Scottish tech scene.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Index
520 ## - SUMMARY, ETC.
Summary, etc. SUMMARY:<br/>Machine learning engineering is a thriving discipline at the interface of software development and machine learning. This book will help developers working with machine learning and Python to put their knowledge to work and create high-quality machine learning products and services.<br/><br/>Machine Learning Engineering with Python takes a hands-on approach to help you get to grips with essential technical concepts, implementation patterns, and development methodologies to have you up and running in no time. You'll begin by understanding key steps of the machine learning development life cycle before moving on to practical illustrations and getting to grips with building and deploying robust machine learning solutions. As you advance, you'll explore how to create your own toolsets for training and deployment across all your projects in a consistent way. The book will also help you get hands-on with deployment architectures and discover methods for scaling up your solutions while building a solid understanding of how to use cloud-based tools effectively. Finally, you'll work through examples to help you solve typical business problems.<br/><br/>By the end of this book, you'll be able to build end-to-end machine learning services using a variety of techniques and design your own processes for consistently performant machine learning engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 1561
Topical term or geographic name entry element Python Computer Program Language
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 845
Topical term or geographic name entry element Machine Learning
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781801079259.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781801079259.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://www.packtpub.com/product/machine-learning-engineering-with-python/9781801079259 ">https://www.packtpub.com/product/machine-learning-engineering-with-python/9781801079259 </a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Physical Form Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Stock Type Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date last seen Date last checked out Budget Year Cost, replacement price Accession Date Koha item type
    Dewey Decimal Classification Text, Paperback     Circulation Section Circulation Section Circulation Section 08/02/2023 22 Purchased 9515.77 8 5 006.31 MCM 97908 19/04/2024 20/03/2024 2022-23 10573.08 08/02/2023 Lending Collection