AWS Certified Machine Learning Study Guide. Shreyas SubramanianЧитать онлайн книгу.
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Table of Contents
1 Cover
8 Introduction The AWS Certified Machine Learning Specialty Exam Who Should Buy This Book Study Guide Features AWS Certified Machine Learning Specialty Exam Objectives
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
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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