Posts
All the articles I've posted.
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Introduction to Random Vectors
Exploring random vectors, joint distributions, conditional distributions, and independence — the foundations of multivariate probability with real-world applications.
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Exploring Random Variable
Comprehensive exploration of probability mass, distribution, and density functions, their properties, and real-world applications.
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Hypothesis and P-Value
A quick introduction to hypothesis testing and p-values, covering their meaning, importance, and common misinterpretations in data science.
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Bayes’ Theorem — A Small Introduction
A concise, practical primer on Bayes’ Theorem: statement, formula, derivation, and real-world uses in testing, spam filtering, A/B tests, recommenders, and ML.