A groundbreaking work that transforms our understanding of the subject. This book has been acclaimed by critics and readers alike as a must-read masterpiece.
In this compelling and insightful work, the author delves deep into the subject matter, providing readers with a comprehensive understanding that is both accessible and profoundly enlightening.
Whether you're a novice looking to understand the basics or an expert seeking advanced insights, this book offers value at every level. The clear writing style and thoughtful organization make complex concepts easy to grasp.
based on 1,242 reviews
Game Developer
"Dual-Quaternions and Computer Graphics represents a significant contribution to the field. The author's meticulous research is evident throughout, with extensive references to both classical and contemporary works. The theoretical framework provides a robust foundation for the arguments presented, making this essential reading for scholars."
Systems Architect
"Dual-Quaternions and Computer Graphics represents a significant contribution to the field. The author's meticulous research is evident throughout, with extensive references to both classical and contemporary works. The theoretical framework provides a robust foundation for the arguments presented, making this essential reading for scholars."
Machine Learning Lecturer
"Highly recommended! Engaging from start to finish."
Cloud Infrastructure Engineer
"This book came into my life at just the right moment. The themes in Dual-Quaternions and Computer Graphics resonated deeply with me, and I found myself reflecting on my own experiences. The author has a beautiful way with words that makes complex ideas accessible."
AI Researcher
"After spending considerable time with Dual-Quaternions and Computer Graphics, I'm impressed by how the author balances depth with accessibility. The first three chapters establish a strong foundation, while the middle sections develop the core concepts with numerous practical examples. The final section synthesizes these ideas in a way that feels both surprising and inevitable—a hallmark of excellent structuring."
A brilliant walkthrough of robotics kinematics—clear diagrams and solid math throughout.
This book gave me the confidence to tackle my first real-world AI project from scratch.
The chapters on reinforcement learning are worth the price alone.
This book gave me the confidence to tackle my first real-world AI project from scratch.
I couldn’t stop reading—finally a technical book that’s both rigorous and engaging.
The writing style is technical but never dry. It keeps you engaged while challenging your thinking.
This is the kind of book that makes you want to open your IDE and start experimenting.
I finally understand backpropagation thanks to this book’s intuitive examples.
The writing style is technical but never dry. It keeps you engaged while challenging your thinking.
The pacing is ideal—dense enough to challenge, but never overwhelming. A masterclass in technical writing.
The explanations are so well-structured, even complex topics like backpropagation feel intuitive.
A goldmine for anyone working in computer vision—concise, practical, and well-researched.