Tag: high-dimensional-data

From latent Dirichlet allocation to Bayesian inference, and beyond, the Dirichlet distribution is a powerful tool in the data scientist's toolbox.

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Bayesian inference is almost 'everywhere' in data science; with the advance of computational power, it is now possible to apply Bayesian inference to high-dimensional data. In this post, we will discuss the conjugate priors for the binomial distribution.

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In the era of AI, the Johnson Lindenstrauss lemma provides the mathematical foundation for many applications of machine learning and deep learning, such as ChatGPT.

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