The module is about core technologies underpinning modern artificial intelligence. The module will introduce statistical machine learning and probabilistic modelling and their application to ...
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Master statistics with Python and R
From STAT 350 coursework to Python’s built-in statistics module, there’s a world of tools to help you understand data, probability, and inference. Whether you’re tackling descriptive stats, hypothesis ...
Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...
Post-hoc testing is carried out after a statistical analysis where you have performed multiple significance tests, ‘post-hoc’ coming from the Latin “after this”. Post-hoc analysis represents a way to ...
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Smarter hypothesis testing with statistics: How e-values can improve scientific research
During his Ph.D. research, mathematician Tyron Lardy worked on a new approach to hypothesis testing. Instead of the traditional p-value, he uses so-called e-values. These turn out to be more ...
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