Machine learning rediscovers equations governing ocean biogeochemistry

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
How-To Geek on MSN

Your Excel regression is probably a mess—here's how Python fixes it

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
katu

"A Simple Machine": Meet the Filmmaker and Lead Actor

Woodburn reportedly disbanded its Flock Safety camera network after an audit found DHS and Border Patrol ran 6,089 searches during a trial. Portland could ban right turns on red at up to 200 ...
Nature

Comparative assessment of machine learning models for polymer solution viscosity prediction in enhanced oil recovery

Polymer flooding is among the most researched and utilized methods to improve oil recovery. Polymer solution viscosity is the primary governing parameter that aids in lowering the mobility of the ...
Nature

Advanced machine learning models for predicting unconfined compressive strength from point load strength index of rock samples from Chennai and Bangalore

The rocks’ uniaxial compressive strength (UCS) constitutes the paramount geomechanical parameter, typically assessed in the laboratory under confined or unconfined conditions. This parameter is ...
LinkedIn

Linear Regression in Machine Learning: Algorithm, Uses and Examples

Machine learning has revolutionised how we solve problems, make decisions, and uncover patterns in data. Among its many algorithms, linear regression stands out as one of the simplest yet most ...
IEEE

Systematic Bias of Machine Learning Regression Models and Correction

Abstract: Machine learning models for continuous outcomes often yield systematically biased predictions, particularly for values that largely deviate from the mean. Specifically, predictions for large ...
IEEE

Predicting Restaurant Ratings: A Comparative Study of Linear Regression and Decision Tree Regression Models in Machine Learning Technology

Abstract: Are you interested in trying new food and exploring new places, but unsure where to start? This research uses machine learning to predict restaurant ratings. The article compares two options ...