Building Scalable deep learning pipelines on AWS: (Record no. 10411)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03083nam a22001937a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251024174503.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 251024b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9798868810169 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | TES |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Testas, Abdelaziz |
| 245 ## - TITLE STATEMENT | |
| Title | Building Scalable deep learning pipelines on AWS: |
| Remainder of title | develop, train, and deploy deep learning models |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New York |
| Name of publisher, distributor, etc. | Apress |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xx, 760 p. |
| 365 ## - TRADE PRICE | |
| Price type code | EURO |
| Price amount | 49.99 |
| 500 ## - GENERAL NOTE | |
| General note | Table of contents:<br/>Front Matter<br/>Pages i-xx<br/>Download chapter PDF <br/>Overview of Scalable Deep Learning Pipelines on AWS<br/>Abdelaziz Testas<br/>Pages 1-56<br/>Setting Up a Deep Learning Environment on AWS<br/>Abdelaziz Testas<br/>Pages 57-113<br/>Data Preparation with PySpark for Deep Learning<br/>Abdelaziz Testas<br/>Pages 115-211<br/>Deep Learning with PyTorch for Regression<br/>Abdelaziz Testas<br/>Pages 213-273<br/>Deep Learning with TensorFlow for Regression<br/>Abdelaziz Testas<br/>Pages 275-319<br/>Deep Learning with PyTorch for Classification<br/>Abdelaziz Testas<br/>Pages 321-429<br/>Deep Learning with TensorFlow for Classification<br/>Abdelaziz Testas<br/>Pages 431-488<br/>Scalable Deep Learning Pipelines with Apache Airflow<br/>Abdelaziz Testas<br/>Pages 489-584<br/>Techniques for Improving Model Performance<br/>Abdelaziz Testas<br/>Pages 585-701<br/>Deploying and Monitoring Deep Learning Models<br/>Abdelaziz Testas<br/>Pages 703-738<br/>Back Matter<br/>Pages 739-760<br/><br/>[https://link.springer.com/book/10.1007/979-8-8688-1017-6] |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book is your comprehensive guide to creating powerful, end-to-end deep learning workflows on Amazon Web Services (AWS). The book explores how to integrate essential big data tools and technologies—such as PySpark, PyTorch, TensorFlow, Airflow, EC2, and S3—to streamline the development, training, and deployment of deep learning models.<br/><br/>Starting with the importance of scaling advanced machine learning models, this book leverages AWS's robust infrastructure and comprehensive suite of services. It guides you through the setup and configuration needed to maximize the potential of deep learning technologies. You will gain in-depth knowledge of building deep learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.<br/><br/>The book provides insights into setting up an AWS environment, configuring necessary tools, and using PySpark for distributed data processing. You will also delve into hands-on tutorials for PyTorch and TensorFlow, mastering their roles in building and training neural networks. Additionally, you will learn how Apache Airflow can orchestrate complex workflows and how Amazon S3 and EC2 enhance model deployment at scale.<br/><br/>By the end of this book, you will be equipped to tackle real-world challenges and seize opportunities in the rapidly evolving field of deep learning with AWS. You will gain the insights and skills needed to drive innovation and maintain a competitive edge in today’s data-driven landscape.<br/><br/>(https://link.springer.com/book/10.1007/979-8-8688-1017-6) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Deep learning models--AWS |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
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| Dewey Decimal Classification | IT & Decisions Sciences | COR/IN/26/6559 | 30-09-2025 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 10/12/2025 | CBS Publishers & Distributors Pvt. Ltd. | 3434.24 | 006.31 TES | 009184 | 10/12/2025 | 1 | 5283.44 | 10/12/2025 | Book |