The courses are aimed at equipping students, educators, and professionals with essential AI and data science skills across diverse fields such as sports, education, science, and finance.

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Abstract: This article examines the normal form of a multiple-input-multiple-output (MIMO) linear time-varying (LTV) system. It explores the transformation of such a system into its normal form using ...

Pyvect (or) Python Vector is an open-source python module which is created for the purpose of simplifying most of the popular vector algebra calculations from the angle between vectors, projection of ...

Abstract: Iterative linear solvers are a crucial kernel in many numerical analysis problems. The performance and energy efficiency of iterative solvers based on traditional architectures are severely ...