Which mathematical algorithm was pivotal in transforming retail big data analytics, becoming widely adopted around 2010 for its ability to process massive datasets across distributed computing systems?

Big data analytics has revolutionized how retailers understand customer behavior and optimize operations. Mathematical models form the backbone of these systems, but do you know which pioneering algorithm changed the retail landscape? Test your knowledge about the intersection of mathematics and retail big data in this challenging poll!

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Gradient Boosting Decision Trees (GBDT)
MapReduce
K-means Clustering
Singular Value Decomposition (SVD)