PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...

Explore non-trivial 1D square wells in Python with this detailed physics tutorial! 🐍⚛️ Learn how to model quantum systems, analyze energy levels, and visualize wave functions using Python simulations ...

Humanities students can now enter data science and AI without an engineering degree. Here’s a clear roadmap to start your tech journey ...

Learn momentum conservation by building a Python model of elastic collisions! This tutorial guides you step-by-step through simulating elastic collisions, analyzing momentum transfer, and visualizing ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Security policy: organization have complex infrastructure and need common tooling to reason about the system as a whole Protocols: expressions are a useful data type and require interoperability ...

Growing up, I remember my mother being utterly taken in by the kitchen of the early nineties. It was her private theatre of experimentation, stocked with everything she learnt at the famous Mrs Babbar ...