Visual Studio Magazine

Linear Regression with Two-Way Interactions Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...
Scientific Research Publishing

Rahman, A. and Khan, S. (2007) Prediction Distribution for Linear Regression Model with Multivariate Student-T Errors under the Bayesian Approach.

ABSTRACT: Egg loss is one of the major problems in the egg hatching industry. This study aims to support farmers in optimizing their egg hatch through the development of a prediction model. This is to ...
Scientific Research Publishing

Tokdar, S. T., & Kadane, J. B. (2011). Simultaneous Linear Quantile Regression: A Semi-parametric Bayesian Approach. Journal of Statistical Planning and Inference, 141, 3667-3676.

ABSTRACT: What role does credit allocation play in shaping economic performance in small, developing countries? While prior research shows that business credit tends to support growth and household ...
Visual Studio Magazine

Linear Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
Too Old to Operate

Nutritional status and associated factors among school age children in Southeast Ethiopia using a bayesian analysis approach.

Undernutrition among school-age children is a major public health concern in sub-Saharan Africa. This study aimed to assess the nutritional status and associated factors among school-age children in ...
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Linear Regression In Python From Scratch | Simply Explained

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...
C&EN

Predictive Assessment of the Chemical Composition of Coal Ash in Reserve at U.S. Disposal Sites

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Coal-based electricity production in the United States has ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...