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.
Real-Time Analytics is a process that allows data to be analyzed at the moment it is collected and actions based on these analyzes are taken instantly.
Emotion analysis is the capture and monitoring of ideas, feelings, or feelings expressed by customers who have had various types of interactions, such as social media posts, customer service calls, and surveys.
Bayesian Networks are one of the most widely used types of probabilistic graphical models. Providing effective solutions for decision making and inference under uncertainty, these networks play a critical role in artificial intelligence, machine learning and data analysis.
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