How-To Geek on MSN

I thought you needed advanced math to build machine learning models, but I was wrong

Machine learning sounds math-heavy, but modern tools make it far more accessible. Here’s how I built models without deep math ...
IEEE

An Efficient Algorithm for Nonlinear Regression Problems with Huber Loss

Abstract: Nonlinear regression models are essential in various fields such as system identification, data analysis, and signal processing. Despite their importance, the efficiency of robust parameter ...
GitHub

FLOP Causal Discovery Algorithm

This repository contains a Rust implementation of the FLOP causal discovery algorithm, available for use from Python and R. It is a score-based algorithm for learning equivalence classes of DAGs from ...
IEEE

A Novel Hardware Efficient FPGA Implementation of Multi-Linear Regression Algorithm

Abstract: Multi-linear regression (MLR) algorithm is simple but one of the powerful machine learning algorithms for prediction where output linearly depends on the independent variables. This work ...