Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...
Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
Tech Xplore on MSN
Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
17hon MSN
Quantum machine learning nears practicality as partial error correction reduces hardware demands
Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...
shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
Gadget Review on MSN
Insurance companies know when you'll die – they use machine learning to predict your expiration
Smartwatch data and AI algorithms help life insurance companies predict mortality with 78% accuracy, potentially affecting ...
SANTA CLARA, CA - December 09, 2025 - - Interview Kickstart, a well-known upskilling and interview-preparation platform, reports significant interest in its Machine Learning Interview Prep Course, a ...
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