Pearson – AWS Certified Machine Learning – Specialty

سرفصل های دوره

Introduction

001. AWS Certified Machine Learning Specialty Introduction

002. AWS Certified Machine Learning Specialty Introduction

Lesson 1 Data Engineering

001. Learning objectives

002. 1.1 Create data repositories for machine learning

003. 1.2 Identify and implement a data ingestion solution

004. 1.3 Decide between ingestion tools

005. 1.4 Identify and implement a data transformation solution

006. 1.5 Get some practice questions and exercises

Lesson 2 Exploratory Data Analysis

001. Learning objectives

002. 2.1 Sanitize and prepare data for modeling

003. 2.2 Perform feature engineering

004. 2.3 Analyze data for machine learning

005. 2.4 Visualize data for machine learning

006. 2.5 Get some practice questions and exercises

Lesson 3 Training Models

001. Learning objectives

002. 3.1 Frame business problems as machine learning problems

003. 3.2 Select the appropriate model for a machine learning problem

004. 3.3 Understand the intuition behind the model

005. 3.4 Train machine learning models

006. 3.5 Choose compute option

007. 3.6 Get some practice questions and exercises

Lesson 4 Evaluating Models

001. Learning objectives

002. 4.1 Perform hyperparameter optimization

003. 4.2 Use other methods for hyperparameter optimization

004. 4.3 Evaluate machine learning models

005. 4.4 Compare models with different metrics

006. 4.5 Implement machine learning best practices

007. 4.6 Get some practice questions and exercises

Lesson 5 Machine Learning Implementation and Operations

001. Learning objectives

002. 5.1 Build machine learning solutions for production

003. 5.2 Address scaling concerns

004. 5.3 Recommend and implement the appropriate machine learning services

005. 5.4 Apply basic AWS security practices to machine learning solutions

006. 5.5 Deploy and operationalize machine learning solutions

007. 5.6 Get some practice questions and exercises

Summary

001. AWS Certified Machine Learning Specialty Summary

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