MIT Technology Review

How to run an LLM on your laptop

It’s now possible to run useful models from the safety and comfort of your own computer. Here’s how. MIT Technology Review’s How To series helps you get things done. Simon Willison has a plan for the ...
Visual Studio Magazine

Linear Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
IEEE

Application of Multi Linear Regression Model for Predicting Heavy Rainfall

Abstract: Heavy rainfall prediction is crucial for various applications such as flood forecasting, water resource management, and agriculture. In this study, we propose a multi linear regression ...
GitHub

Linear Regression in StatsModels

So far, you learned how linear regression and R-Squared (coefficient of determination) work "under the hood" and created your own versions using NumPy. Going forward, you're going to use a Python ...
The Boston Globe

‘Chaos and confusion’: R.I. leaders scramble to interpret threat of federal education cuts

CRANSTON, R.I. — Every day at the R.I. Department of Education for the last several weeks, officials have tried to sort through the “chaos and confusion” of President Trump’s flurry of executive ...
GitHub

logistic.md

<style> p.comment { background-color: #DBDBDB; padding: 10px; border: 1px solid black; margin-left: 25px; border-radius: 5px; font-style: normal; } .figure { margin ...
jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
IEEE

Cardiovascular Machine Learning: Interpreting Maximum Heart Rate Values from Patient Biometrics Using Linear Regression and Random Forest Models

Abstract: Leveraging machine learning, this study analyzes and interprets patient biometrics to predict heart rates and identify disease trends. Currently, machine learning is limited in its abilities ...
Frontiers

Objective quantification of sound sensory attributes in side-by-side vehicles using multiple linear regression models

The evaluation of sound quality is a significant area of research in audio and acoustics (Lyon, 2003). Traditional methods for assessing vehicle sound quality involve both subjective and objective ...
C&EN

Evaluating the Suitability of Linear and Nonlinear Regression Approaches for the Langmuir Adsorption Model as Applied toward Biomass-Based Adsorbents: Testing Residuals and ...

Department of Chemical Engineering, University of Louisiana, Lafayette, Louisiana 70504, United States Energy Institute of Louisiana, University of Louisiana, Lafayette, Louisiana 70504, United States ...
SciELO

Nonlinear regression models for estimating linseed growth, with proposals for data collection

Nonlinear regression models represent an alternative way to describe plant growth. In this study, we aimed to model the growth of linseed using four methods for data collection (longitudinal, mean, ...