Tag: Predictive Modeling
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Astek Expands Presence in India and Strengthens Position in US Market with Simelabs Acquisition
Astek expands in India & strengthens US position with Simelabs acquisition, enhancing expertise & presence in Life Sciences industry.
AI-Powered Toolset Speeds Up Disability Evaluation for Service Members
Discover how an AI-powered toolset revolutionizes disability evaluation for service members, accelerating the process and improving outcomes.
From Farm to Table: AI-Driven Software Revolutionizes Food Safety
Discover how AI-driven software is transforming food safety, enhancing transparency, traceability, and verification in the entire supply chain.
Stressor: A Package for Evaluating Machine Learning Models
Discover Stressor: An R package created to help researchers determine the accuracy of predictive models quickly. The package allows R users to leverage the power of Python's PyCaret library without learning Python itself, making it easier to compare and refine machine learning models. With synthetic data set generation functions and accuracy comparison metrics, this package is a valuable tool for machine learning experts and beginners alike.
Comparing Machine Learning Model Performance: Universal Asymptotic Analysis
This thesis investigates Machine Learning models in asymptotic regimes. Researchers have found contradictory results regarding traditional statistical wisdom. It uses LASSO & Random Features regression to figure out why. Gaussian comparison theorems expose these models’ properties, including overparameterization & lower order statistical moments to determine universality. This research promises to help solve Machine Learning mysteries.