The teaching and learning of linear algebra have evolved significantly over recent decades, underpinned by diverse approaches ranging from theoretical expositions to dynamic, model-based environments.

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The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, and statistics. These provide the foundation for developing the needed ...

In the rapidly changing environment that now surrounds data science, the only constant is the question of the role of mathematics. In all industries, big or small, is a very strong mathematical ...

Mathematics of Machine Learning provides a rigorous yet accessible introduction to the mathematical underpinnings of machine learning, designed for engineers, developers, and data scientists ready to ...

The focus on Indian knowledge systems in the UGC’s proposed mathematics curriculum is better suited to other disciplines such ...