Why marketing mix modeling is still hard to get right

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...
IEEE

Tamilnews Inspector: A Multilingual Fake News Detection Framework Using Sentence Embeddings and Ensemble Learning

Abstract: TamilNews Inspector is a multilingual fake news detection framework developed to tackle the growing dissemination of fake news in linguistically diverse digital landscapes, explicitly ...
GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
Frontiers

Development of an interpretable machine learning model for predicting sarcopenia in patients undergoing maintenance hemodialysis

Sarcopenia has a high incidence among patients undergoing maintenance hemodialysis (MHD), significantly increasing the risk of falls, fractures, and mortality. Traditional diagnostic methods, however, ...
GitHub

A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning

pyoselm is a Python library for machine learning models with Extreme Machine Learning (ELM) and Online Sequential Machine Learning (OS-ELM). It allows to fit models for regression and classification ...
C&EN

Estimation of Hematocrit Volume Using Blood Glucose Concentration through Extreme Gradient Boosting Regressor Machine Learning Model

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Visual Studio Magazine

Regression Using LightGBM

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value. A regression problem is one ...