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• Kernel Functions: In data science and machine learning, kernel functions are mathematical functions that transform data into a higher-dimensional space, allowing for more complex analysis and classification. They are commonly used in support vector machines ... Read More >>
• Probability Mass Function: In probability theory and statistics, a probability mass function (PMF) is a function that gives the probability that a discrete random variable is exactly equal to some value. It maps the possible values of the random variable to their cor ... Read More >>
• Goodness Of Fit: Goodness of fit is a statistical measure that determines how well a model fits the observed data. It is used to evaluate the accuracy of a model by comparing the expected values of a variable to the actual values. The goodness of fit test i ... Read More >>