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Maximum Likelihood Vs. Cost Function.
Maximum Likelihood Vs. Cost Function. Table Of Contents: What Is Maximum Likelihood? What Is Cost Function? Which One To Use Where? (1) What Is Maximum Likelihood Function? The likelihood function, denoted as L(θ | x), measures the probability of observing the given data (x) for different values of the model parameters (θ). It is a fundamental concept in statistical inference, particularly in cases where we want to estimate the parameters of a statistical model based on observed data. The likelihood function is constructed based on the assumption that the observed data points are independent and identically distributed (i.i.d.) and follow
