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Why are neural networks suited for massive amounts of gambling data?
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They excel at spotting hidden relationships in huge datasets, like correlations between game types and user segments.
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Once trained, the model updates quickly, allowing near real-time insights for marketing or risk decisions.
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Traditional statistical methods can’t handle the speed or complexity of multi-million bet logs.
Big data analysis?
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