Data mining is ultimately the process of analyzing hidden data patterns according to different perspectives for grouping useful information, collected and consolidated in common areas such as data warehouses, data mining algorithms, facilitating business decision-making, and other information requirements, in order to reduce costs and increase profits. Data mining is also known as data discovery or information discovery.
Data cleanup, or data rubbing, is the process of detecting and correcting or removing data or records that are incorrect from a database. It also includes correcting or removing unformatted or duplicate data or records.
Variational Autoencoders (VAE) are a powerful model in the world of deep learning and are used to discover hidden structures in data.
Zero-based budgeting is an effective tool for organizations to control costs, manage resources, improve business processes, and improve performance.
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