The 5% Significance Level Trap: Why Models with Zero Effect Appear 'Effective' Every Time You Perform Multiple Comparisons

Every time you experiment with multiple machine learning models in an online product, you are unknowingly possessed by a ...
BIOENGINEER

Deep Learning’s Anomaly Detection Supremacy May Be an Illusion, Study Finds

A reproducibility study of 18 influential papers finds that data leakage, silently modified datasets, and underspecified ...
techtarget

Compare Google Vertex AI vs. Amazon SageMaker vs. Azure ML

Each major public cloud provider offers a machine learning platform: Amazon SageMaker from AWS, Azure Machine Learning from Microsoft and Vertex AI from Google Cloud. These platforms share core ...
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 ...

Organizing AI, Machine Learning, and Deep Learning through Familiar Tasks

AI, machine learning, and deep learning. You see these terms repeatedly in introductory materials, yet you might stumble when ...
BIOENGINEER

Machine Learning Borrows From Casting to Design 3D-Printed Stainless Steels

Researchers have shown that a machine learning model trained on casting data, guided by chromium and nickel equivalents, can ...
Psychiatry Advisor

Speech-Based Machine Learning May Improve Depression Screening in Adolescents

A machine learning model combining acoustic speech features with PHQ-9 responses improved depression screening accuracy in adolescents.