Pronod Bharatiyadata-intelligence.hashnode.dev·Dec 13, 2024Understanding IID: The Backbone of Machine Learning and Deep Learning AlgorithmsIntroduction 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...DiscussIID vs Non-IID Data in Machine Learning and Deep LearningIID in Machine Learning
Pronod Bharatiyadata-intelligence.hashnode.dev·Dec 6, 2024IID vs. Non-IID Data: Choosing the Right Machine Learning and Deep Learning AlgorithmsIntroduction 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...DiscussIID vs Non-IID Data in Machine Learning and Deep LearningIID assumption
Pronod Bharatiyadata-intelligence.hashnode.dev·Sep 14, 2024Leveraging Graph Neural Networks on the CORA Dataset: Tackling Non-IID and Non-Euclidean Data with Graph TheoryIn 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...Discuss·219 readsGraph Neural Networks (GNNs)CORA Dataset
