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Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
InfoWorld

Machine learning: Demystifying linear regression and feature selection

Businesspeople need to demand more from machine learning so they can connect data scientists’ work to relevant action. This requires basic machine learning literacy — what kinds of problems can ...
ascopubs.org

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams

TRAIL Score: A Simple Model to Predict Immunochemotherapy Tolerability in Patients With Diffuse Large B-Cell Lymphoma We trained models using logistic regression (LR) and four commonly used ML ...
Android Police

Machine Learning: Everything you need to know

Machine learning is revolutionizing how computers perform tasks traditionally considered exclusive to human intelligence. Our everyday lives are deeply embedded with machine learning, from AI chatbot ...
Devdiscourse

AI outperforms traditional models in bankruptcy forecasting

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...
VentureBeat

What is supervised machine learning?

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The training process for artificial intelligence (AI) algorithms is ...
Nasdaq

MicroAlgo Inc. Announced Bitcoin Trading Prediction Algorithm Based on Machine Learning and Technical Indicators

BEIJING, Dec. 26, 2023 /PRNewswire/ -- MicroAlgo Inc. (NASDAQ: MLGO) (the "Company" or "MicroAlgo"), today announced a Bitcoin trading prediction algorithm based on machine learning and technical ...