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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide

You're reading from   AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide The ultimate guide to passing the MLS-C01 exam on your first attempt

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781835082201
Length 342 pages
Edition 2nd Edition
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Authors (2):
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Somanath Nanda Somanath Nanda
Author Profile Icon Somanath Nanda
Somanath Nanda
Weslley Moura Weslley Moura
Author Profile Icon Weslley Moura
Weslley Moura
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Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Machine Learning Fundamentals FREE CHAPTER 2. Chapter 2: AWS Services for Data Storage 3. Chapter 3: AWS Services for Data Migration and Processing 4. Chapter 4: Data Preparation and Transformation 5. Chapter 5: Data Understanding and Visualization 6. Chapter 6: Applying Machine Learning Algorithms 7. Chapter 7: Evaluating and Optimizing Models 8. Chapter 8: AWS Application Services for AI/ML 9. Chapter 9: Amazon SageMaker Modeling 10. Chapter 10: Model Deployment 11. Chapter 11: Accessing the Online Practice Resources 12. Other Books You May Enjoy

SageMaker Training Compiler

If you’ve reached this section, you are about to delve into the world of SageMaker Training Compiler (SMTC), a game-changing tool designed to supercharge the training of your ML models on SageMaker by optimizing intricate training scripts. Picture this: faster training, swifter model development, and an open door to experimentation. That’s the primary goal of SMTC—improving training speed to bring agility to your model development journey. The following are the major advantages of using SMTC:

  • Scaling challenges: Embarking on the journey of training large-scale models, especially those with billions of parameters, often feels like navigating uncharted engineering territory. SMTC, however, rises to the occasion by optimizing the entire training process, conquering the challenges that come with scaling.
  • Efficiency at its core: SMTC takes the reins of GPU memory usage, ushering in a realm where larger batch sizes become not just...
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