Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

Optimizing machine learning (ML) model performance relies heavily on appropriate data preprocessing techniques. Despite the widespread use of standardization and normalization, empirical comparisons ...

Article citations More>> Ali, P.J.M., Faraj, R.H., Koya, E., Ali, P.J.M. and Faraj, R.H. (2014) Data Normalization and Standardization: A Technical Report. Machine Learning Technical Reports, 1, 1-6.

Machine learning (ML)-based detection of diseases using sequence-based gut microbiome data has been of great interest within the artificial intelligence in medicine (AIM) community. The approach ...

About This Udacity Mini-project focuses on mean normalization and data separation techniques for data preprocessing in machine learning.

Normalization is a technique often applied as part of data preparation for machine learning. The goal of normalization is to change the values of numeric columns in the dataset to use a common scale, ...