These two courses clarify both the machine learning stack and the terms and processes that will help you build a good foundation in machine learning. You’ll explore the AWS ML stack through application use cases, platform services, frameworks, interfaces, and infrastructure. You’ll also learn how a business problem becomes a machine learning problem, and how data is moved and processed throughout the pipeline to train models and create predictions.
ML Building Blocks: Services and Terminology
Amazon and Amazon Web Services via Independent
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112
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Overview
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Syllabus
- Introduction to AWS Machine Learning Services
- Machine Learning Terminology and Process