Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

Over the past week, I’ve been exploring one of the most classic — yet powerful — business analytics techniques: Market Basket Analysis. The goal was simple but impactful — to understand how products ...

Version 8.0 has been released. Get it here or with Docker. This release adds the capability to use pre-trained scikit-learn, Keras or REST API based models with Qlik. More on this here. Qlik's ...

Development of a novel deep learning architecture to accurately predict user preferences based on their viewing behavior and patterns. Integration of graph analysis techniques with deep learning to ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

As a beginner in business management, one of the most crucial skills is gathering and analyzing data to make informed decisions. Business analytics utilizes data and statistical methods to extract ...

Purpose: To demonstrate an interaction-based method for the refinement of Gene Set Enrichment Analysis (GSEA) results. Method: Intravitreal injection of miR-124-3p antagomir was used to knockdown the ...

Apriori and FP-Growth are two fundamental algorithms used for frequent itemset mining in market basket analysis. Understanding consumer behaviour is crucial for providers to enhance marketing ...

Quantifying synergistic environmental effects in water contamination is still an open issue. Here, we have analyzed geolocalized data of pollutants recorded in 2018 in surface and groundwater of ...