A structured, comprehensive reference to the algorithms powering modern AI-from foundational theory to applied machine learning, deep learning, reinforcement learning, and beyond.

Artificial Intelligence has reached every major industry-but the underlying algorithms remain scattered across papers, courses, and frameworks. This book brings them together in one clear, navigable volume.

Whether you're building systems, analyzing architectures, or just trying to keep up with the pace of innovation, this reference equips you with the full landscape of algorithmic approaches-organized, explained, and ready for use.