Please enable JavaScript to use CodeHS

Digital Literacy and Artificial Intelligence

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

10.5 Data's Role in Machine Learning

  • Why Data Matters in AI
  • Why Data Matters in AI Quiz
  • What Makes Good Data?
  • What Makes Good Data? Quiz
  • Data Representation: A Deeper Dive
  • +4 more

10.6 Project: Build a Sorting Machine

  • Project Introduction: Building Sorting Machines
  • Build Your Sorting Machine - Supervised Learning
  • Supervised Learning Submission
  • Peer Review
  • Build Your Sorting Machine - Unsupervised Learning
  • +2 more

10.7 Machine Learning Unit Quiz

  • Machine Learning Unit Quiz

Courses that include this module