Neuro-Symbolic Artificial Intelligence: How to Build Smarter, More Explainable AI Systems (Ai, Inventions, Technology, Gadget reviews)

By Davis Miller

Looking for a smarter kind of artificial intelligence? One that doesn't just make predictions--but actually makes sense? If you're building or buying AI, you've probably asked: Can I trust what it's telling me? Can it explain its decisions? Neuro-Symbolic AI: How to Build Smarter, More Explainable AI Systems is your blueprint for creating AI that combines the pattern recognition of machine learning with the structure and reasoning of symbolic logic. This isn't just another AI theory book. It's a hands-on, no-fluff guide to building intelligent systems that are accurate, understandable, and aligned with real-world needs. Inside, you'll learn: Why most AI today is a black box--and how to fix it How neuro-symbolic systems outperform deep learning in complex, high-risk environments The tools, frameworks, and code-friendly walkthroughs to build your own hybrid models Use cases across fraud detection, healthcare, law, robotics, and compliance How to think like a hybrid AI architect--and future-proof your skills Whether you're an AI engineer, machine learning practitioner, software developer, or just AI-curious, this book gives you the mindset and methods to build systems that go beyond raw prediction. If you're searching for AI that thinks, reasons, explains--and earns trust--this is the book that shows you how. Buy now and start building AI people can rely on.

• Format: Hardcover
• Language: English
• ISBN: B0F5Q34X55
• ISBN13: 9798280668867
• Release Date: April 2025
• Publisher: Independently published
• Length: 164 Pages
• Dimensions: 9.0" x 0.6" x 6.0"