Knowledge Gap
Guide
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AWS Certified Machine Learning
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AWS Certified Machine Learning
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Chapter 1
Introduction to AWS Machine Learning Services
This chapter provides an overview of the various AWS services that support machine learning, including Amazon SageMaker, AWS Deep Learning AMIs, and AWS Lambda. It covers the basic functionalities and use cases of each service.
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Chapter 2
Data Engineering for Machine Learning
This chapter focuses on data engineering practices necessary for machine learning, including data collection, cleaning, transformation, and storage using AWS services like AWS Glue, Amazon S3, and Amazon Redshift.
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Chapter 3
Model Training and Evaluation
This chapter covers the process of training and evaluating machine learning models using Amazon SageMaker, including hyperparameter tuning and model validation techniques.
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Chapter 4
Deployment and Monitoring of ML Models
This chapter explains how to deploy machine learning models using AWS services and monitor their performance in production environments.
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Chapter 5
Security and Compliance in Machine Learning
This chapter discusses the security and compliance considerations when working with machine learning on AWS, including data encryption, access control, and compliance with regulations.