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