ML Building Blocks: Services and Terminology

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Overview

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.

Syllabus

  1. Introduction to AWS Machine Learning Services
  2. Machine Learning Terminology and Process