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.
Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
IEEE

Analysis of Gas Pipeline Failure Factors Based on the Novel Bayesian Network by Machine Learning Optimization

Abstract: Assessing the failure of urban gas pipelines is crucial for identifying risk factors and preventing gas accidents that result in economic losses and casualties. Most previous studies on gas ...
MarketWatch

Grammy Winner Phillip Lawrence and Fashion Icon Francesca Sorrenti Join Forces with Michael Flutie and Michaela Goddard Quesada to Launch an Anti-Algorithm Talent Pipeline ...

NEW YORK, Dec. 3, 2025 /PRNewswire/ -- While the entertainment industry obsesses over follower counts, a radical new platform is proving that raw talent still wins. TESTBOARD--the vision-first ...
IEEE

Enhanced Breast Cancer Molecular Biomarker Classification: A Novel Two-Stage Machine Learning Pipeline for Accurate Histological Analysis of Whole Slide Images

Abstract: Breast cancer, a prevalent and diverse form of cancer, is characterized by unique clinicopathologic features. Accurate classification of its molecular subtype, essential for targeted ...
Frontiers

Efficiency algorithm: new AI-based tools for an adaptive learning environment

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...