The Machine Learning Solutions Architect Handbook ; (Record no. 34604)
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
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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 |
Withdrawn status | Not for loan | Collection code | Permanent Location | Current Location | Shelving Location | Date acquired | Source of acquisition | Price | Full Call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 |
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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 |