Advanced Deep Learning with Python

Random variables and probability distributions

In statistics, we define a variable as an attribute that describes a given entity. The value of the attribute can vary between entities. For example, we can describe the height of a person with a variable, which would differ for different people. But let's say that we take the height measurement of the same person multiple times. We can expect to obtain slightly different values each time due to some random factors, such as the person's pose or inaccuracy in our own measurements. Therefore, the value of the variable height would differ, despite the fact that we are measuring the same thing. To account for these changes, we'll introduce random variables. These are variables whose values are determined ...