Mastering Azure machine learning : (Record no. 8284)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03527cam a22005417i 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1317831602 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20241121073022.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION | |
| fixed length control field | m d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu---unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220518s2022 enka o 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | ORMDA |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | ORMDA |
| Modifying agency | UKMGB |
| -- | N$T |
| -- | OCLCF |
| -- | YDX |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER | |
| National bibliography number | GBC274210 |
| Source | bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER | |
| Record control number | 020566515 |
| Source | Uk |
| 019 ## - | |
| -- | 1329305939 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781803246796 |
| Qualifying information | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1803246790 |
| Qualifying information | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9781803232416 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | 3274268 |
| -- | (N$T) |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1317831602 |
| Canceled/invalid control number | (OCoLC)1329305939 |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | 9781803232416 |
| Source of stock number/acquisition | O'Reilly Media |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q325.5 |
| Item number | K67 2022 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3/1 |
| Edition number | 23/eng/20220518 |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | K�orner, Christoph, |
| Relator term | author. |
| 9 (RLIN) | 19752 |
| 245 10 - TITLE STATEMENT | |
| Title | Mastering Azure machine learning : |
| Remainder of title | execute large-scale end-to-end machine learning with Azure / |
| Statement of responsibility, etc | Christoph K�orner, Marcel Alsdorf. |
| 246 30 - VARYING FORM OF TITLE | |
| Title proper/short title | Execute large-scale end-to-end machine learning with Azure |
| 250 ## - EDITION STATEMENT | |
| Edition statement | Second edition. |
| 264 #1 - | |
| -- | Birmingham, UK : |
| -- | Packt Publishing Ltd., |
| -- | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (624 pages) : |
| Other physical details | illustrations |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning services. Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logging ML training runs, designing training and deployment pipelines, and managing these pipelines via MLOps. The first section shows you how to set up an Azure Machine Learning workspace; ingest and version datasets; as well as preprocess, label, and enrich these datasets for training. In the next two sections, you'll discover how to enrich and train ML models for embedding, classification, and regression. You'll explore advanced NLP techniques, traditional ML models such as boosted trees, modern deep neural networks, recommendation systems, reinforcement learning, and complex distributed ML training techniques - all using Azure Machine Learning. The last section will teach you how to deploy the trained models as a batch pipeline or real-time scoring service using Docker, Azure Machine Learning clusters, Azure Kubernetes Services, and alternative deployment targets. By the end of this book, you'll be able to combine all the steps you've learned by building an MLOps pipeline. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | WorldCat record variable field(s) change: 050 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning. |
| 9 (RLIN) | 2890 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Cloud computing. |
| 9 (RLIN) | 5598 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Microsoft Azure (Computing platform) |
| 9 (RLIN) | 19753 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Cloud computing. |
| Source of heading or term | fast |
| -- | (OCoLC)fst01745899 |
| 9 (RLIN) | 5598 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning. |
| Source of heading or term | fast |
| -- | (OCoLC)fst01004795 |
| 9 (RLIN) | 2890 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Microsoft Azure (Computing platform) |
| Source of heading or term | fast |
| -- | (OCoLC)fst01940548 |
| 9 (RLIN) | 19753 |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 9 (RLIN) | 3907 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Alsdorf, Marcel, |
| Relator term | author. |
| 9 (RLIN) | 19754 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Print version : |
| International Standard Book Number | 9781803232416 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | EBSCOhost |
| Uniform Resource Identifier | <a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3274268">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3274268</a> |
| 938 ## - | |
| -- | EBSCOhost |
| -- | EBSC |
| -- | 3274268 |
| 994 ## - | |
| -- | 92 |
| -- | N$T |
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