AWS Certified Machine Learning Study Guide. Shreyas Subramanian

      

      Table of Contents

      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