Dot Physics on MSN

Python physics: Create a linear regression function using VPython

Create a Linear Regression Function using VPython! 🐍📈 In this video, we’ll guide you through creating a simple linear regression function to analyze data, visualizing the results with VPython. Learn ...
thorax.bmj

Development and validation of PRECISE-X model: predicting first severe exacerbation in COPD

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
IEEE

Regression Model Employing Spiking Neural Network for Bio-Signal Analysis With Hardware Integration

Abstract: Spiking neural networks, known for mimicking the brain’s functionality resulting in efficient algorithms, are gaining attention across various problems and applications. However, their ...
marktechpost

Google AI’s New Regression Language Model (RLM) Framework Enables LLMs to Predict Industrial System Performance Directly from Raw Text Data

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...
GitHub

Nonlinear Regression: Estimating Hand-to-Camera Distance

This project implements a quadratic nonlinear regression model to estimate the real-world distance between a hand and a camera based on the relative positions of hand landmarks in 2D images. The ...
Motor Trend

2026 Tesla Model S First Look: Subtle Updates Bring More Range, Slightly New Look

Even though it might seem like Tesla has a lot going on—robotaxis, literal humanoid robots, and that ever-elusive affordable model that just keeps getting pushed back—its aging core lineup has only ...
GitHub

scikit-learn-pandas-matplotlib

Predicting house prices using Linear Regression. Includes data preprocessing, model training, evaluation (MAE, MSE, R²), and visualization using Python and Scikit-learn.
Frontiers

Cost-effectiveness of the 3E model in diabetes management: a machine learning approach to assess long-term economic impact

Background: This study investigated the cost-effectiveness and clinical impact of the 3E model (education, empowerment, and economy) in diabetes management using advanced machine learning techniques.
Scientific Research Publishing

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models. 3rd Edition, Sage Publications.

ABSTRACT: This study investigates the impact of marketing mix elements—Product, Price, Promotion, and Place (4Ps)—on the revenue and profit of Nigerian Breweries Plc (NBL) from 2013 to 2022, using ...
TechCrunch

The hottest AI models, what they do, and how to use them

AI models are being cranked out at a dizzying pace, by everyone from Big Tech companies like Google to startups like OpenAI and Anthropic. Keeping track of the latest ones can be overwhelming. Adding ...
Frontiers

Regression-based machine learning models for nitrate and chloride prediction in surface water in a small agricultural sand plain sub-watershed in southwestern Ontario, Canada

Machine learning (ML) models have proven to be an efficient technique for better understanding and quantification of surface water quality, especially in agricultural watersheds where considerable ...