Build Intelligent Systems - Train AI Agents That Learn from Experience

Are you ready to build intelligent systems from the ground up? This practical guide takes you from search algorithms and logic to machine learning and neural networks, with step-by-step projects that turn theory into working code. Whether you're a beginner or a pro, you'll gain the skills to create real AI applications. Unlike The Other Wes Moore: One Name, Two Fates (One World Essentials) or The Other Emily, this book is your hands-on path to mastering AI—no fluff, just results. What You'll Build Search engines and game-playing agents Logic-based reasoning systems Machine learning models for prediction Neural networks for image and text End-to-end intelligent systems Each chapter includes code examples, exercises, and a final project that ties everything together. You'll learn by doing, not just reading. Nathan Underwood's approach ensures you understand the 'why' behind each algorithm, so you can adapt and innovate. Why This Book? Clear explanations for complex topics Real-world examples and datasets Progressive difficulty from basics to advanced Focus on building, not just theory Start your journey today and create systems that think, learn, and adapt. Perfect for students, developers, and AI enthusiasts. This hands-on Other guide is written to be used at the keyboard: every concept is paired with something you can run, adapt, and keep. You move from first principles to real, working results, with the common errors and fixes called out along the way so you are never stuck for long.