The New York Times

The Nationals finally have a high-tech pitching machine. What are they getting out of it?

"You're just getting more and more realistic views of what opposing pitchers have," catcher Riley Adams said of the Nationals' new Trajekt Arc machine. Sam Navarro / Imagn Images WEST PALM BEACH, Fla.
Scientific Research Publishing

McCauley, S. (2012) Applying Multinomial Logistic Regression to Categorize Student Technological Knowledge Based on Technology Usage Attributes. Walden University.

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
Scientific Research Publishing

Li, L., Rysavy, M.A., Bobashev, G. and Das, A. (2024) Comparing Methods for Risk Prediction of Multicategory Outcomes: Dichotomized Logistic Regression Vs. Multinomial Logit ...

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
IEEE

A Machine Learning Approach to Explore and Predict Student Motivation Types

Abstract: Motivation plays a significant role in shaping students’ educational outcomes. Understanding the factors that influence student motivation is crucial for enhancing academic performance and ...
Hosted on MSN

Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
IEEE

Comparative Analysis of Sparse Multinomial Logistic Regression and Convolutional Neural Networks for Multi-Class Image Classification

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...
UroToday

Developing a Predictive Model for Significant Prostate Cancer Detection in Prostatic Biopsies from Seven Clinical Variables: Is Machine Learning Superior to Logistic Regression?

Objective: This study compares machine learning (ML) and logistic regression (LR) algorithms in developing a predictive model for sPCa using the seven predictive variables from the Barcelona (BCN-MRI) ...
GitHub

Lung Cancer Prediction Project

In this project, we leverage the power of artificial intelligence in healthcare to predict lung cancer risks. By employing various machine learning techniques, we aim to assist medical professionals ...