Maximum Likelihood Estimation

Suppose we have a probability distribution with parameter $\boldsymbol\theta$. We also have some samples drawn from the distribution $\mathbf X$. We would like to estimate $\boldsymbol\theta$ based on $\mathbf X$ to maximize the following probability.

$${\hat {\boldsymbol\theta }}={\underset {\boldsymbol\theta \in \Theta }{\operatorname {arg\;max} }}\ p(\mathbf X\mid \boldsymbol\theta )$$

Intuitively, we would like to find the parameters, which would most likely to generate these samples.