In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a ...
ABSTRACT: This study investigates the impact of wage structure on employee satisfaction, motivation, and retention in Thailand’s textile manufacturing industry. Despite the recognized importance of ...
Quality outcomes of implementing a solid oncology hospitalist service at an urban, academic medical center.
ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
The current project uses a Random Forest model for yield prediction. While this works, we can also implement the task using a Deep Learning Artificial Neural Network (ANN) for potentially better ...
Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...
Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...
Modernizing clinical trial accessibility: Integrating the AI-powered LookUpTrials app into the CTN program. Nursing Lack of a protocol for home administration of bortezomib Educational materials, ...
Learn how to compare ML models using bootstrap resampling with a hands-on sklearn implementation. Trump promised lower grocery prices ‘on Day One.’ Here’s what happened Disturbance in the Atlantic has ...
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