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Cloud native AI and machine learning on AWS : use SageMaker for building ML models, automate MLOps, and take advantage of numerous AWS AI services / Premkumar Rangarajan, David Bounds.

By: Contributor(s):
Material type: TextTextPublisher: New Delhi : $bBPB Publications, 2023Edition: 1st editionDescription: 400 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789355513267
Subject(s): DDC classification:
  • 23 006.3 R.P.C
Contents:
505 0\$a1. Introducing the ML Workflow ‡ 2. Hydrating the Data Lake ‡ 3. Predicting the Future With Features ‡ 4. Orchestrating the Data Continuum ‡ 5. Casting a Deeper Net (Algorithms and Neural Networks) ‡ 6. Iteration Makes Intelligence (Model Training and Tuning) ‡ 7. Let George Take Over (AutoML in Action) ‡ 8. Blue or Green (Model Deployment Strategies) ‡ 9. Wisdom at Scale with Elastic Inference ‡ 10. Adding Intelligence with Sensory Cognition ‡ 11. AI for Industrial Automation ‡ 12. Operationalized Model Assembly (MLOps and Best Practices).
Summary: This book guides data and cloud professionals to design, deploy, and manage end-to-end AI/ML systems on AWS using SageMaker, Comprehend, Rekognition, Lookout, and AutoML. It covers MLOps automation, neural networks, data lakes, operational best practices, and real-world case studies. :contentReference[oaicite:1]{index=1}
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Books Books Media and mass communication Library B4 006.3 R.P.C C.1 Available MA0002267
Total holds: 0

Includes bibliographical references.

505 0\$a1. Introducing the ML Workflow ‡ 2. Hydrating the Data Lake ‡ 3. Predicting the Future With Features ‡ 4. Orchestrating the Data Continuum ‡ 5. Casting a Deeper Net (Algorithms and Neural Networks) ‡ 6. Iteration Makes Intelligence (Model Training and Tuning) ‡ 7. Let George Take Over (AutoML in Action) ‡ 8. Blue or Green (Model Deployment Strategies) ‡ 9. Wisdom at Scale with Elastic Inference ‡ 10. Adding Intelligence with Sensory Cognition ‡ 11. AI for Industrial Automation ‡ 12. Operationalized Model Assembly (MLOps and Best Practices).

This book guides data and cloud professionals to design, deploy, and manage end-to-end AI/ML systems on AWS using SageMaker, Comprehend, Rekognition, Lookout, and AutoML. It covers MLOps automation, neural networks, data lakes, operational best practices, and real-world case studies. :contentReference[oaicite:1]{index=1}

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