Artificial Intelligence and Robotics by Suresh Kumar Krishnadhas(.PDF)
File Size: 61.1 MB
Artificial Intelligence and Robotics: Transformative and Computational Algorithms for Enhanced Problem Solving by Suresh Kumar Krishnadhas, Ananth Kumar Tamilarasan, Pramod Singh Rathore, Abhishek Kumar
Requirements: .PDF reader, 61.1 MB | True PDF
Overview: This book explores advanced mathematical computational algorithms in Artificial Intelligence and robotics, with a focus on areas such as Machine Learning, optimization, and digital simulations. Key topics include the mathematical foundations of AI, robotics control systems, computational geometry for image processing, and their applications in real-world problem-solving, such as autonomous systems and smart manufacturing. Artificial Intelligence (AI) and robotics are becoming more and more important in our lives. Hence it is important to understand the basic principles of mathematics. These fields go beyond algorithms and code, and they are based on strict mathematical rules that make their amazing abilities and ongoing growth possible. The main reason for this effort is the need for a resource that links abstract mathematical ideas to their real-world uses in AI and robotics. Many books talk about specific AI techniques, but not as many talk about all the different quantitative methods that make these new technologies possible. This book tries to fill that gap by giving readers a full picture of the logic, frameworks, and tools that make intelligent systems work. Researchers, engineers, academics, and advanced students who want to learn more about AI and robotics from the ground up can all benefit from this book. This book is a great resource for people who want to learn more about modern AI, develop new algorithms, or design robotic systems.
Genre: Non-Fiction > Tech & Devices
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