Respond to user inquiries with relevant information.
Enhance efficiency and effectiveness of data retrieval.
What is clustering?
Clustering is an unsupervised learning method. This method lets us draw references from datasets that consist of input data but the responses are not labeled.
What is clustering in information retrieval?
Clustering is important to information retrieval. It allows users to discover dense spaces of multidimensional data, and is used for many purposes like query expansion, document grouping and indexing and search result visualization.
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Data Science
Data, analytics and AI forge paths to new possibilities – picture a steady, reliable stream of insights that empower you to make better business decisions.
Data Driven Strategy
Map your analytics initiatives to quantifiable business outcomes with a data driven approach. A strategy to win in the age of intelligence starts with developing a data architecture blueprint and executable roadmap.
Engineering
Vast amounts of business data requires optimization to be transformed into useful knowledge. Discover how advanced data engineering empowers organizations with meaningful insights to make real time decisions.
Explainability
Accuracy and agility requires specialized predictive analytics. Stefanini’s Data Explainability solutions deliver insightful decision support using predictive analytics that answer complex questions, is production ready, scalable and evolvable.
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