BIOENGINEER

Machine Learning Classifies Alzheimer’s Stages Using Routine Clinical and Cognitive Data

A secondary analysis shows machine-learning models using routine clinical and cognitive variables achieved moderate-to-good ...
BIOENGINEER

Lineage-Aware Validation Reduces Machine Learning Performance for Database-Observed IncC Plasmids

A machine-learning model classifying database-observed cross-genus IncC plasmids showed sharp drops in discrimination and ...
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, ...
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 ...
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 ...
GitHub

MBTI Personality Prediction Using NLP and Machine Learning

MBTI Personality Prediction using Natural Language Processing and Machine Learning. - Jay00066/Personality_Prediction_NLP_ML ...

How Do Machine Learning Models Learn? An Overview from Data Preparation to Training, Evaluation, and Prediction

When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," and "overfitting."Even if you look up the meaning of each, if you don't ...

Quantum models predict lung cancer using limited training data in preliminary tests

Developing reliable machine learning models for health care can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...