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 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 Observability is the ability to monitor, diagnose, and manage the quality of data throughout the data lifecycle. It is also the discipline to automatically find out the health of your data and solve problems as soon as possible.
In the field of artificial intelligence and machine learning, various sampling methods are used to generate new data using the information learned by the models.
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