This is the repository for The Applied Artificial Intelligence Workshop, published by Packt. It contains all the supporting project files necessary to work through the course from start to finish.
To get started with the project files, you'll need to:
- Setup The Jupyter Notebook
The Applied Artificial Intelligence Workshop teaches you the ins and outs of machine learning and neural networks from the ground up, using real-world examples. You'll learn to develop AI and ML models using Python, starting with using the minmax algorithm and alpha-beta pruning to create your first game, and ending with classifying images using neural networks.
- Create your first AI game in Python with the minimax algorithm
- Implement regression techniques to simplify real-world data
- Experiment with classification techniques to label real-world data
- Perform predictive analysis in Python using decision trees and random forests
- Use clustering algorithms to group data without manual support
- Understand how to use neural networks to process and classify labeled images
If you've found this repository useful, you might want to check out some of our other workshop titles: