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AWS Discovery Day: Machine Learning Basics

SS Course: 63326

Course Overview

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Are you interested in machine learning, but not sure where to start? Join us for this session with an AWS expert and demystify the basics. Using real-world examples, you ll learn about important concepts, terminology, and the phases of a machine learning pipeline. Learn how you can unlock new insights and value for your business using machine learning.                                                                  

Scheduled Classes

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What You'll Learn

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What is Machine Learning?
  • What is the machine learning pipeline, and what are its phases?
  • What is the difference between supervised and unsupervised learning?
  • What is reinforcement learning?
  • What is deep learning?

Outline

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Viewing outline for:
Classical programming vs. machine learning approach
  • What is a model?
  • Algorithm features, weights, and outputs
  • Machine learning algorithm categories
  • Supervised algorithms
  • Unsupervised algorithms
  • Reinforcement learning
  • How does deep learning work?
  • How deep learning is different
  • Overview
  • Business problem
  • Data collection and integration
  • Data processing and visualization
  • Feature engineering
  • Model training and tuning
  • Model evaluation
  • Model deployment
  • Resources to continue learning

Prerequisites

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      Who Should Attend

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      Developers
      • Solution architects
      • Data engineers
      • Individuals interested in building solutions with machine learning - no machine learning experience required!

      Next Step Courses

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