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Introduction In the ever-evolving landscapes of machine learning (ML) and deep learning (DL), one fundamental assumption acts as a cornerstone: the notion that data is Independent and Identically Distributed (IID). This assumption isn't just a techni...

Introduction In the domain of machine learning (ML) and deep learning (DL), a primary assumption upheld by numerous algorithms is that the data is Independent and Identically Distributed (IID). This indicates that each data point is sourced independe...
