Which mathematical technique is MOST commonly used in retail big data analytics to predict future purchasing patterns based on historical customer data?

Big data analytics has transformed how retail businesses make decisions, with mathematical models and algorithms driving insights. From predictive analytics to customer behavior modeling, mathematics provides the foundation for retail data science. Test your knowledge about how mathematical principles are applied to retail big data strategies that have revolutionized the industry.

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Bayesian Networks
Regression Analysis
Eigenvalue Decomposition
Fourier Transforms