Abstract: The complexity of coupled multivariate data in industrial settings often limits the effectiveness of principal component analysis (PCA) in revealing patterns and structures in the data. In ...

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and visualization. Gingrich: Time for 'national conversation' about immigrants living ...

How is AI and data leadership at large organizations being transformed by the accelerating pace of AI adoption? Do these leaders’ mandates need to change? And should overseeing AI and data be viewed ...

Google Analytics is making it easier for businesses to compare themselves against industry peers by expanding its Benchmarking feature to include 20 new unnormalized metrics, such as New Users and ...

Oct 1 (Reuters) - Dataiku, an artificial intelligence data analytics startup, has hired investment banks to push ahead with an initial public offering, according to people familiar with the matter.

Abstract: Detecting and analyzing complex patterns in multivariate time-series data is crucial for decision-making in urban and environmental system operations. However, challenges arise from the high ...

MathWorks, a leading developer of mathematical simulation and computing software, revealed that a ransomware gang stole the data of over 10,000 people after breaching its network in April. The company ...

Most people regard bank runs as a thing of the Depression-era past, but in 2023, several U.S. financial institutions failed when they experienced unexpected runs on deposits. Taking notice, leaders at ...

Background/objectives: Dietary patterns play an important role in regulating serum uric acid (SUA) levels in the body. Recently, compositional data analysis (CoDA) has been proposed as an alternative ...