Dec 13, 2024 · 18 min read · 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...
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Dec 6, 2024 · 14 min read · 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...
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Sep 14, 2024 · 10 min read · In traditional machine learning models, including neural networks, data is often assumed to follow the IID (independent and identically distributed) assumption. This means each data point is independent of others and follows the same underlying proba...
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