BIOENGINEER

Machine Learning Pipeline Classifies Seeded Rotating Machinery Faults in Laboratory Trials

A laboratory study demonstrates that a gradient-boosted machine learning pipeline classifies multi-axis vibration signals from an unloaded rotating machine to identify seeded mechanical faults with ...
ascopubs.org

Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials Recent advances in machine ...
BIOENGINEER

Structured Python Framework Guides Nonprogramming Engineers Through Core Machine Learning Models

A comprehensive Python tutorial outlines an end-to-end framework enabling engineers without programming expertise to ...
techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...
GitHub

Predictive Modeling for Agriculture: Sowing Success with Machine Learning

A DataCamp Machine Learning Project that predicts the best crop for a field using soil metrics through EDA, preprocessing, and classification models. - wncelrcn/Predictive-Modeling-for-Agriculture ...

Trying out machine learning using scikit-learn and the Palmer Penguins dataset

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...
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 ...