Correlation analysis refers to the application of statistical analysis and other mathematical techniques to evaluate or measure the relationships between variables. It can be used to identify the most likely set of factors that will lead to a particular outcome — such as a client responding to an offer or the performance of financial markets.
Data science is about gaining actionable insights into the data a company owns, supported by a variety of applications.
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.
Especially in machine learning and natural language processing (NLP) projects, data is often represented as numerical vectors. At this point, traditional databases may be insufficient to manage vector-based data. This is where Vector Database (Vector DB) comes into play.
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