How-To Geek on MSNOpinion

Python's SymPy Library Makes Math Easy. Here Are 6 Practical Uses

If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about ...
IEEE

Semi-Supervised Symmetric Non-Negative Matrix Factorization With Low-Rank Tensor Representation

Abstract: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ...
IEEE

Distance-Based Logistic Matrix Factorization

Abstract: Matrix factorization is a central paradigm in matrix completion and collaborative filtering. Low-rank factorizations have been extremely successful in reconstructing and generalizing ...
Frontiers

Collaborative filtering based on nonnegative/binary matrix factorization

Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unrated items, matrix ...
Hackaday

Hardware Built For Executing Python (Not Pythons)

Lots of microcontrollers will accept Python these days, with CircuitPython and MicroPython becoming ever more popular in recent years. However, there’s now a new player in town. Enter PyXL, a project ...
GitHub

Matrix Decomposition Algorithms

Welcome to the nlp-2.1-matrix-decomposition repository! This project provides a collection of algorithms for matrix decomposition, a fundamental concept in linear algebra. Whether you're working on ...
unite

Design Patterns in Python for AI and LLM Engineers: A Practical Guide

As AI engineers, crafting clean, efficient, and maintainable code is critical, especially when building complex systems. Let’s explore some key design patterns that are particularly useful in AI and ...