[Part 3] Predicting Numbers or Choosing Categories?: A Gentle Explanation of Regression and Classification

Estimated reading time: approx. 3 minutes 30 secondsIn machine learning, models learned from past data are used to predict ...
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, ...
BIOENGINEER

Stop trusting single accuracy scores: why ML models need distributional evaluation

A large-scale study argues that machine learning performance should be reported as distributions with confidence intervals on ...

Is Contrast Agent Information Necessary for Machine Learning?

Reading the PCCT Liver Lesion Radiomics StudyIn my previous article, I posed the question of whether we could consider ...
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 ...
AZoM

Machine Learning Improves LIBS Classification of Real Plastic Waste Under Variable Laser Conditions

Researchers used machine learning-assisted laser-induced breakdown spectroscopy (LIBS) to classify PP, PET, HDPE, and LDPE ...
BIOENGINEER

Simple Machine Learning Model Teaches Robots to Dodge Obstacles in Crowded Spaces

Researchers have developed an adaptive logistic regression model that lets low-cost autonomous robots classify obstacles and ...
Analytics Insight

Deep Learning Cheat Sheet for Beginners & Professionals

Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and ...