Day 23: Introduction to Probability for AI Systems
What We’ll Build Today
Calculate probabilities using Python to understand uncertainty in AI predictions
Build a simple spam classifier that uses probability to make decisions
Visualize probability distributions to see how AI models think about uncertainty
Why This Matters: Teaching Machines to Handle Uncertainty
When you ask an AI “Will it rain tomorrow?”, it doesn’t give you a simple yes or no. Instead, it calculates probabilities: “70% chance of rain.” This is because the real world is uncertain, and AI systems need to quantify that uncertainty to make smart decisions.
Every AI model you’ll build—whether it’s predicting house prices, detecting spam, or recommending movies—relies on probability. It’s the mathematical language that lets machines say “I’m 95% confident this email is spam” instead of making rigid, all-or-nothing decisions. Today, you’ll learn the probability fundamentals that power everything from simple classifiers to advanced language models.
