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AI & Data · Intermediate

Regression, classification and neural networks with intuition first and maths second.

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About this course

Build a working intuition for the core ideas of machine learning. Each concept starts with a visual explanation, then a small hands-on example you can run in your browser.

What you’ll learn

  • Frame a problem as regression or classification
  • Understand loss functions and gradient descent
  • Explain how a neural network layer transforms data
  • Evaluate a model with the right metric

Syllabus

4 modules · 12 lessons · open any lesson with your AI tutor

01The learning problem3 lessons
  1. 1Features and labels: learn it with Education AI
  2. 2Regression vs classification: learn it with Education AI
  3. 3Loss functions: learn it with Education AI
02Optimisation3 lessons
  1. 4Gradient descent, visually: learn it with Education AI
  2. 5Learning rates: learn it with Education AI
  3. 6Overfitting and regularisation: learn it with Education AI
03Neural networks3 lessons
  1. 7Neurons and layers: learn it with Education AI
  2. 8Activation functions: learn it with Education AI
  3. 9Training a small network: learn it with Education AI
04Evaluation3 lessons
  1. 10Accuracy, precision and recall: learn it with Education AI
  2. 11Train, validation and test sets: learn it with Education AI
  3. 12From notebook to product: learn it with Education AI

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