A recent development is the t-distributed stochastic neighbor embedding (t-SNE) algorithm, which is a useful technique for reducing high-dimensional data down to two or three dimensions, thereby facilitating the visualization of those data. The developments in probability theory and statistics continued into the twentieth century. Karl Pearson developed modern hypothesis testing, and R. A. Fisher developed statistical methods for multivariate analysis and introduced the idea of maximum likelihood estimate into statistical inference as a method to draw conclusions based on the relative
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