Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Open Access Government

Leveraging machine learning and robust small area estimation methods for stand-level forest inventory

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...
Ahmedabad Mirror

India Emerges as a Global Leader in Machine Learning–Enabled Scientific Research, New Report Finds

India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled ...
Analytics Insight

10 Exciting Python Data Science Projects Using Jupyter for Beginners

Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...
Frontiers

Machine learning enhanced acute heart failure phenotype prediction using natural language processing and random forest

Background: Heart failure (HF), with its distinct phenotypes, poses significant public health challenges. Early diagnosis of specific HF phenotypes is crucial for timely therapeutic intervention.
The New York Times

Arsenal 3 Nottingham Forest 0: Madueke and Eze shine, Zubimendi the goal machine, Rice rested

Arsenal returned to winning ways in the Premier League on Saturday, beating Ange Postecoglou’s Nottingham Forest 3-0 at the Emirates Stadium. The headline team news was Declan Rice being rested in ...
Scientific Research Publishing

Breiman, L. (2001) Random Forests. Machine Learning, 45, 5-32.

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...
ahajournals.org

Random Survival Forest Machine Learning for the Prediction of Cardiovascular Events Among Patients With a Measured Lipoprotein(a) Level: A Model Development Study

Numbers are No. (%) unless otherwise noted. ACE indicates angiotensin-converting enzyme; ARB, angiotensin receptor blocker; DPP-4, dipeptidyl peptidase-4; GLP-1, glucagon-like peptide-1; PCSK9, ...
Visual Studio Magazine

Random Forest Regression and Bagging Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...