The Applied Artificial Intelligence Workshop

Practical artificial intelligence can feel like a distant, heavily mathematical specialty, but The Applied Artificial Intelligence Workshop brings the core ideas into immediate, hands-on focus. Anthony So, William So, and Zsolt Nagy have created a workshop-style guide that moves quickly from first principles to real Python examples, giving readers a working understanding of AI rather than a pile of theory.

A Workshop Format That Builds Real Skills 🧠

The book is structured around exercises and activities that encourage you to solve problems as you read. Starting with basic search strategies for game AI, you’ll soon be working with the same libraries used in production machine learning, including NumPy, scikit-learn, and TensorFlow.

What You’ll Explore and Build

• Game AI and search algorithms: Breadth-first search, A*, minimax, and alpha-beta pruning applied to tic-tac-toe and Connect Four.
• Regression and prediction: Linear and polynomial regression, support vector regression, and real-world data handling.
• Classification: K-nearest neighbors, support vector machines, and performance metrics crucial for evaluating models.
• Decision trees and ensembles: Decision tree classifiers, random forests, and extremely randomized trees.
• Clustering: K-means, mean shift, and hierarchical clustering with practical evaluation metrics.
• Neural networks and deep learning: TensorFlow basics, neural network architecture, and activation functions.

Why This Approach Works

Instead of treating each technique in isolation, the workshop connects them through a common goal: building AI that can solve problems, make decisions, and learn from data. The exercise-driven style helps you understand not just the syntax but the reasoning behind each step, which is crucial when you start applying these ideas to your own projects.

Who This Book Is For

If you’re a developer, student, or technical enthusiast who wants to move beyond tutorials and actually build working AI models, this ebook provides a structured path. Familiarity with Python is helpful, but the early chapters offer enough grounding to get started even if you’re new to the language.

Digital Delights is pleased to offer this workshop as an instant digital download, so you can start coding and experimenting right away.