Explore Python Physics Lesson 19 and learn how the Monte Carlo method can approximate Pi with simple yet powerful simulations. In this lesson, we break down the Monte Carlo technique step by step, ...

We also considered the interpretation, advantages, and challenges of tensorial PCA compared with standard PCA. Methods: Loyalty card program members from the largest retailer in Finland were invited ...

This repository presents a Python Streamlit component that wraps HTML, CSS, and JS code, enabling the creation of an interactive image zoom application. Try online demo! Note: Setting this parameter ...

Abstract: Principal component analysis (PCA) is considered as an important technique for dimension reduction of the data in various artificial intelligence/machine learning applications. One of the ...

Abstract: In recent studies, tensor singular value decomposition (TSVD) within the high-order (Ho) algebra has shed light on solving the Tensor Robust Principal Component Analysis (TRPCA) problem.

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...