Читать книгу AWS Certified Machine Learning Study Guide - Shreyas Subramanian - Страница 2

1  Cover

2  Title Page

3  Copyright

4  Dedication

5  Acknowledgments

6  About the Authors

7  About the Technical Editor

8  Introduction The AWS Certified Machine Learning Specialty Exam Who Should Buy This Book Study Guide Features AWS Certified Machine Learning Specialty Exam Objectives

9  Assessment Test

10  Answers to Assessment Test

11  PART I: Introduction Chapter 1: AWS AI ML Stack Amazon Rekognition Amazon Textract Amazon Transcribe Amazon Translate Amazon Polly Amazon Lex Amazon Kendra Amazon Personalize Amazon Forecast Amazon Comprehend Amazon CodeGuru Amazon Augmented AI Amazon SageMaker AWS Machine Learning Devices Summary Exam Essentials Review Questions Chapter 2: Supporting Services from the AWS Stack Storage Amazon VPC AWS Lambda AWS Step Functions AWS RoboMaker Summary Exam Essentials Review Questions

12  PART II: Phases of Machine Learning Workloads Chapter 3: Business Understanding Phases of ML Workloads Business Problem Identification Summary Exam Essentials Review Questions Chapter 4: Framing a Machine Learning Problem ML Problem Framing Recommended Practices Summary Exam Essentials Review Questions Chapter 5: Data Collection Basic Data Concepts Data Repositories Data Migration to AWS Summary Exam Essentials Review Questions Chapter 6: Data Preparation Data Preparation Tools Summary Exam Essentials Review Questions Chapter 7: Feature Engineering Feature Engineering Concepts Feature Engineering Tools on AWS Summary Exam Essentials Review Questions Chapter 8: Model Training Common ML Algorithms Local Training and Testing Remote Training Distributed Training Monitoring Training Jobs Debugging Training Jobs Hyperparameter Optimization Summary Exam Essentials Review Questions Chapter 9: Model Evaluation Experiment Management Metrics and Visualization Summary Exam Essentials Review Questions Chapter 10: Model Deployment and Inference Deployment for AI Services Deployment for Amazon SageMaker Advanced Deployment Topics Summary Exam Essentials Review Questions Chapter 11: Application Integration Integration with On-Premises Systems Integration with Cloud Systems Integration with Front-End Systems Summary Exam Essentials Review Questions

13  PART III: Machine Learning Well-Architected Lens Chapter 12: Operational Excellence Pillar for ML Operational Excellence on AWS Summary Exam Essentials Review Questions Chapter 13: Security Pillar Security and AWS Secure SageMaker Environments AI Services Security Summary Exam Essentials Review Questions Chapter 14: Reliability Pillar Reliability on AWS Change Management for ML Failure Management for ML Summary Exam Essentials Review Questions Chapter 15: Performance Efficiency Pillar for ML Performance Efficiency for ML on AWS Summary Exam Essentials Review Questions Chapter 16: Cost Optimization Pillar for ML Common Design Principles Cost Optimization for ML Workloads Summary Exam Essentials Review Questions Chapter 17: Recent Updates in the AWS AI/ML Stack New Services and Features Related to AI Services New Features Related to Amazon SageMaker Summary Exam Essentials

14  Appendix Answers to the Review Questions Chapter 1: AWS AI ML Stack Chapter 2: Supporting Services from the AWS Stack Chapter 3: Business Understanding Chapter 4: Framing a Machine Learning Problem Chapter 5: Data Collection Chapter 6: Data Preparation Chapter 7: Feature Engineering Chapter 8: Model Training Chapter 9: Model Evaluation Chapter 10: Model Deployment and Inference Chapter 11: Application Integration Chapter 12: Operational Excellence Pillar for ML Chapter 13: Security Pillar Chapter 14: Reliability Pillar Chapter 15: Performance Efficiency Pillar for ML Chapter 16: Cost Optimization Pillar for ML

15  Index

16  End User License Agreement