Introduction to AI
What AI really is, a short history of the field, and where it shows up in the products you use every day.
Statistics & Probability
The essential math behind AI — descriptive statistics, probability, distributions, and hypothesis testing with hands-on Python examples.
Machine Learning Basics
The core vocabulary of ML — features, labels, training, and the difference between supervised and unsupervised learning — with runnable examples.
Neural Networks
How artificial neurons work, how layers stack into networks, and how training with backpropagation actually adjusts the weights.
Practical Examples
Copy-paste-ready Python examples for classification, image recognition, text sentiment, and calling a modern language model.
A Short History of AI
Welcome to aibyexamples.com! If you've ever wondered how we leaped from clunky room-sized computers calculating ballistic trajectories to pocket-sized devices writing poetry and generating code, you're in the right place.