News

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 ...

Spotting stealth multiplets for better single-cell experiment design

Single-cell RNA sequencing (scRNA-seq) has revolutionized modern biology, allowing scientists to study the expression of ...
BMJ Open

Rising to the challenges of research in multiple long-term conditions: health and social care research ecosystem approaches

Objective The purpose of this article is to share insights from the National Institute for Health and Care Research Clinical Research Network (NIHR CRN) in delivering research for Multiple Long Term ...
Medscape

Lidocaine Deaths, Poisonings Nearly Triple Over Past Decade

Deaths and poisonings linked to the local anesthetic lidocaine have risen sharply over the past decade, as adverse event rates for other local anesthetics have declined, a new study showed.
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, ...
Visual Studio Magazine

Linear Support Vector Regression Using C# with Particle Swarm Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
IEEE

Representation Transfer Learning via Multiple Pre-Trained Models for Linear Regression

Abstract: In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of ...
Frontiers

Prediction of preoperative peritoneal cancer index for pseudomyxoma peritonei by multiple linear regression analysis

Background: The aim of the present study was to establish a predictive model to predict the peritoneal cancer index (PCI) preoperatively in patients with pseudomyxoma peritonei (PMP). Conclusion: This ...
GitHub

Multiple Linear Regression - Cumulative Lab

In this cumulative lab you'll perform an end-to-end analysis of a dataset using multiple linear regression. Identify the feature that is most correlated with price and build a StatsModels linear ...
Medscape

Development of an Outcome Prediction Tool for Patients Considering a Total Knee Replacement

We plan to undertake a prospective multi-centre cohort study including all six hospitals (NHS and private) that provide total knee replacements to the population of Coventry and Warwickshire. This ...
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 ...