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 ...

Explore core physics concepts and graphing techniques in Python Physics Lesson 3! In this tutorial, we show you how to use Python to visualize physical phenomena, analyze data, and better understand ...

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

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 ...

Abstract: Linear systems involved in engineering and scientific calculations can be more easily analyzed using similarity transformation. However, understanding the numerous abstract linear algebra ...