Equivalence of Gaussian Naive Bayes and Logistic Regression: An Explanation

Logistic Regression and Naive Bayes are two most commonly used statistical classification models in the analytics industry. Logistic Regression, a discriminative model, assumes a parametric form of class distribution Y given data X, P(Y|X), then […]

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Training Deep Learning based Named Entity Recognition from Scratch : Disease Extraction Hackathon

Named-entity recognition (NER) (also known as entity extraction) is a sub-task of information extraction that seeks to locate and classify named entity mentions in unstructured text into pre-defined categories such as the person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, […]