Over the following four weeks, you will:

• Demonstrate several working machine learning models
• Explain the different types of machine learning, and the problems that they are suitable for
• Compare supervised, unsupervised, and reinforcement learning
• Discuss the ethical issues surrounding machine learning and AI

This course will cover:

• The history of AI
• What are AI and machine learning?
• Using AI for classification
• What problems can AI solve?
• Collecting and preparing data for machine learning
• Potential problems with AI
• The machine learning process
• Supervised learning: Decision trees and nearest neighbour
• Unsupervised learning
• Reinforcement learning
• How neural networks work
• Writing a good ML resource