BIOENGINEER

Intelligent Undersampling Algorithm Enhances Machine Learning Accuracy on Imbalanced Data

Computer scientists have developed an intelligent undersampling framework that combines density-aware boundary selection with ...

What are Model Trees? Let's Implement and Compare Them with Regression Trees in Python

One of the representative algorithms in machine learning is the decision tree.A decision tree is a method that makes ...
BIOENGINEER

Machine Learning Pinpoints Candidate MicroRNA Signature for Oral Cancer

An integrative machine learning analysis of public tissue transcriptomic datasets identified a candidate 30-microRNA ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
GitHub

machine-learning-project

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to ...
Washington Post

What it takes to get useful health data from your smartwatch

Smartwatches are among the wearable devices that gather health data. Translating that data into useful information can be complicated and expensive. (iStock) The human body constantly generates a ...