The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

This important study presents single-unit activity collected during model-based (MB) and model-free (MF) reinforcement learning in non-human primates. The dataset was carefully collected, and the ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression ...

ABSTRACT: The purpose of this research was to determine whether Artificial Intelligence (AI) and the Expected Utility Hypothesis can be effectively applied to the prioritization of defense in-depth ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

It includes EDA, data cleaning, and simple and multiple linear regression. Key libraries include pandas, NumPy, statsmodels, Seaborn, and Matplotlib. Insights help optimize marketing strategies and ...