Sarat Moka

About the Author

Sarat Moka is a distinguished researcher and author in the field of artificial intelligence, with a focus on the mathematical underpinnings of deep learning technologies. Holding advanced degrees in computer science and mathematics, he has dedicated his career to bridging theoretical foundations with practical applications in machine learning. Moka's work explores the intricate algorithms and optimization techniques that power modern AI systems, making complex concepts accessible to both academics and industry professionals. His seminal book, Mathematical Engineering of Deep Learning (Chapman & Hall/CRC Data Science Series), exemplifies his expertise by providing a rigorous yet intuitive framework for understanding neural networks and their engineering challenges. Through his contributions, Moka continues to shape the future of data science education and innovation.