TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Bayesian Network Structure Learning Method for Continuous Variables Based on k-NN and Max ...

Abstract: For Bayesian network structure learning with continuous data, traditional methods typically require data discretization or assume that the data follows a Gaussian distribution. However, the ...
Edutopia

Making Use of a Worked Example to Improve Learning

It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...
Forbes

Powering Smarter AI And LLMs With The Right Data Strategy

AI and large language models (LLMs) are transforming industries with unprecedented potential, but the success of these advanced models hinges on one critical factor: high-quality data. Here, I'll ...
IEEE

Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies

Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...