You're reading from The Machine Learning Solutions Architect Handbook Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI

Product type Paperback

Published in Apr 2024

Publisher Packt

ISBN-13 9781805122500

Length 602 pages

Edition 2nd Edition

Languages

Python

Tools

MLOps

Concepts

Machine Learning

Author (1):

David Ping

View More author details

Table of Contents (19) Chapters

Preface

1. Navigating the ML Lifecycle with ML Solutions Architecture FREE CHAPTER

2. Exploring ML Business Use Cases

3. Exploring ML Algorithms

4. Data Management for ML

5. Exploring Open-Source ML Libraries

6. Kubernetes Container Orchestration Infrastructure Management

7. Open-Source ML Platforms

8. Building a Data Science Environment Using AWS ML Services

9. Designing an Enterprise ML Architecture with AWS ML Services

10. Advanced ML Engineering

11. Building ML Solutions with AWS AI Services

12. AI Risk Management

13. Bias, Explainability, Privacy, and Adversarial Attacks

14. Charting the Course of Your ML Journey

15. Navigating the Generative AI Project Lifecycle

16. Designing Generative AI Platforms and Solutions

17. Other Books You May Enjoy

18. Index

Hands-on lab – running ML tasks using AI services

In this hands-on lab, you will perform a list of ML tasks using Rekognition, Comprehend, Textract, Personalize and Transcribe. After the lab, you will have developed hands-on experience with the core features of several AI services and how they can be used for various ML tasks. Follow these steps to get started:

Launch the SageMaker Studio profile you created in Chapter 8, Building a Data Science Environment Using AWS ML Services. You will create and run new notebooks in this profile.
We need to provide the new notebooks with permission to access AI services. To do this, find the Studio execution role for the Studio environment and attach the AdministratorAccess IAM policy to it. We will use this policy for simplicity here. In a controlled environment, you would need to design a policy to provide the specific permissions needed to access different services.
Clone https://github.com/PacktPublishing/The...