Abstract: A revolutionary area of artificial intelligence called machine learning enables computers to learn from data and forecast without the need for explicit programming. A key component of ...
Background: Previous analyses of bulk colon and rectal adenocarcinoma (COAD/READ) RNA-sequence data comparing African ancestry (AA) and European ancestry (EA) groups have reported differentially ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Standard linear regression predicts a single numeric value ...
The goal of liu.lab4.algorithms is to provide an R implementation of a multiple linear regression mode. This package was created for Lab 4 in the course 732A94 Advanced R Programming at Linköping ...
Abstract: This paper systematically analyzes the market dynamics of the pet industry in China and globally based on multiple linear regression and ARIMA models. First, for the Chinese market, this ...
This post has been updated as of 9/29/25. We announced on September 29th, 2025, that Microsoft Copilot Studio now supports Anthropic’s latest model, Claude Sonnet 4.5. You can learn more here.
We’re excited to announce that we’re expanding the models that power Microsoft 365 Copilot with the addition of Anthropic models. Once you opt-in, you’ll be able to switch between OpenAI and Anthropic ...
Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) increased population-level device-assessed physical activity (PA) over 2 years.
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