Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
BMJ

Exercise based cardiac rehabilitation for atrial fibrillation: Cochrane systematic review, meta-analysis, meta-regression and trial sequential analysis

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...
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, ...
Sports Illustrated

New Analysis Uncovers Alarming Stat About Giants Offensive Line

It’s one of the most common phrases in the game of football that says a team’s offense is only as good as the strength of their offensive line, and for the New York Giants, that has been a repetitive ...
Scientific Research Publishing

Hastie, T., Tibshirani, R. and Friedman, J. (2008) The Elements of Statistical Learning: Data Mining, Inference, and Prediction. 2nd Edition, Springer.

ABSTRACT: 1st cases of COVID-19 were reported in March 2020 in Bangladesh and rapidly increased daily. So many steps were taken by the Bangladesh government to reduce the outbreak of COVID-19, such as ...
IEEE

Analysis of Novel Seizure Detection system using Linear Regression Algorithm to Improvise the Performance Efficiency in Comparison with Naive Bayes

Abstract: To analyse seizure detection systems using novel linear regression algorithms to improve the detection accuracy, sensitivity and specificity in to the naive bayes algorithm. Methods and ...