Abstract: In this study, the focus is to use the t-distributed Stochastic Neighbor Embedding (t-SNE) technique for identifying outliers from high dimensional data sets. To this end, the study proposes ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...

Methods: DC Cohort data on all consented participants from January 2011 through September 2022 were submitted to the Black Box. Simultaneously, all DC Health HIV surveillance data were also submitted ...

Vikki Velasquez is a researcher and writer who has managed, coordinated, and directed various community and nonprofit organizations. She has conducted in-depth research on social and economic issues ...

The Fourth Amendment generally requires the government to get a warrant before searching your private information, but government agencies are circumventing the intent of the Constitution by simply ...

The modern artificial intelligence boom has created a boom in financial engineering. A lot of people who run big tech companies and AI labs think that they will collectively need to spend trillions of ...

In microbiome studies, addressing the unique characteristics of sequence data—such as compositionality, zero inflation, overdispersion, high dimensionality, and non-normality—is crucial for accurate ...

Data powers nearly every aspect of modern life, yet much of it remains in the hands of a few centralized providers. From cloud services to digital archives, companies like Amazon, Google, and ...

The explosion of AI companies has pushed demand for computing power to new extremes, and companies like CoreWeave, Together AI and Lambda Labs have capitalized on that demand, attracting immense ...