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South Carolina Fundamentals of Computing (2019)

Machine Learning

Students will learn the fundamentals of machine learning, covering its lifecycle, supervised, unsupervised, and reinforcement learning, and explore bias within learning models.

Lessons

10.1 Intro to Machine Learning

  • Machine Learning and Neural Networks
  • Machine Learning and NN Reflection
  • Convolutional Neural Networks
  • Convolutional Neural Networks Response
  • Visualizing High-Dimensional Space
  • +3 more

10.2 Supervised Learning

  • Supervised Learning
  • Sketch-RNN: Multi Predict
  • How Apple's Face ID Works
  • What is Teachable Machine?
  • Explore a Teachable Machine Project
  • +1 more

10.3 Unsupervised Learning

  • Unsupervised Learning
  • Categorize These Shapes
  • Categorize These Shapes Reflection
  • The Infinite Drum Machine
  • t-SNE Map of Artwork
  • +1 more

10.4 Reinforcement Learning

  • Reinforcement Learning
  • Game: Hot & Cold
  • Hot & Cold Reflection
  • How to Teach an AI to Play a Game
  • How to Teach an AI to Play a Game Reflection
  • +3 more

Courses that include this module