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Shreyas Subramanian
AWS Certified Machine Learning Study Guide
Читать книгу AWS Certified Machine Learning Study Guide - Shreyas Subramanian - Страница 1
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Вернуться на страницу книги AWS Certified Machine Learning Study Guide
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Страница 1
Table of Contents
List of Tables
List of Illustrations
Guide
Pages
AWS Certified Machine Learning Study Guide Specialty (MLS-C01) Exam
Страница 8
Страница 9
Acknowledgments
About the Authors
About the Technical Editor
Introduction
The AWS Certified Machine Learning Specialty Exam
Why Become AWS Machine Learning Specialty Certified?
How to Become AWS Machine Learning Specialty Certified
Who Should Buy This Book
Study Guide Features
Interactive Online Learning Environment and Test Bank
Conventions Used in This Book
Real World Scenario Real-World Scenario
AWS Certified Machine Learning Specialty Exam Objectives
Domain 1: Data Engineering Subdomain 1.1: Create Data Repositories for Machine Learning
Subdomain 1.2: Identify and Implement a Data Ingestion Solution
Subdomain 1.3: Identify and Implement a Data Transformation Solution
Domain 2: Exploratory Data Analysis Subdomain 2.1: Sanitize and Prepare Data for Modeling
Subdomain 2.2: Perform Feature Engineering
Subdomain 2.3: Analyze and Visualize Data for Machine Learning
Domain 3: Modeling Subdomain 3.1: Frame Business Problems as Machine Learning Problems
Subdomain 3.2: Select the Appropriate Model(s) for a Given Machine Learning Problem
Subdomain 3.3: Train Machine Learning Models
Subdomain 3.4: Perform Hyperparameter Optimization
Subdomain 3.5: Evaluate machine learning models
Domain 4: Machine Learning Implementation and Operations Subdomain 4.1: Frame Build Machine Learning Solutions for Performance, Availability, Scalability, Resiliency, and Fault Tolerance
Subdomain 4.2: Recommend and Implement the Appropriate Machine Learning Services and Features for a Given Problem
Subdomain 4.3: Apply Basic AWS Security Practices to Machine Learning Solutions
Subdomain 4.4: Deploy and Operationalize Machine Learning Solutions
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