Machine Learning in Fraud Detection Market size is expected to reach USD 302.9 billion by 2034, projected at a CAGR of 35.8%.

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for ...

Traditional authentication methods, such as single-factor passwords, have proven inadequate in combating sophisticated cyber ...

And the other is kind of represented by Erik Brynjolfsson—he’s more of a techno-optimist—and he argues that recent breakthroughs in machine learning will boost productivity in places like ...

Chemical Reaction Hazards, Drug Substance & Drug Product, Clinical Manufacture & Supply, Process Technology & Development, Operations, AstraZeneca, Macclesfield SK10 ...

Department of Biochemistry, Microbiology and Immunology and Ottawa Institute of Systems Biology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, Ontario K1H 8M5, Canada Department ...

Results from five predictive machine-learning methods (logistic regression, logistic regression with LASSO regularization, Support Vector Machine, Random Forest, and Extreme Gradient Boosting) ...

This study compared the performance of traditional logistic regression and machine learning models in predicting adult sepsis mortality. Objective: To develop an optimum model for predicting the ...