Lesson 2: How computers learn from data

Learn about the role of data-driven models in AI systems and machine learning.

Learning objectives

  • Define machine learning’s relationship to artificial intelligence
  • Name the three common approaches to machine learning
  • Describe how classification can be solved using supervised learning

Key vocabulary

Machine learning, training data, supervised learning, unsupervised learning, reinforcement learning, classification, class, label

Lesson structure

  • Is a ‘smart’ speaker an AI application?
  • Breaking down a smart speaker
  • How to models learn?
  • The types of machine learning
  • Classification
  • Classifying animals in the Serengeti

Lesson overview

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