Inferential programming is a way for computers to learn from data and make predictions about new data. Imagine you have a big bag of candies that contains different colors and flavors. You can pick different candies from the bag and write down their color and flavor. This is called creating a dataset.
When a computer performs inferential programming, it takes this dataset and tries to find patterns in the colors and flavors. It does this by using algorithms, which are like step-by-step instructions that tell the computer what to do with the data.
Once the computer has found patterns in the data, it can make predictions about new candies based on what it has learned. For example, if the computer sees that most blue candies are raspberry flavored, it can predict that a new blue candy is raspberry flavored too.
Inferential programming is used in many real-world applications, like predicting which products customers will like based on their purchase history or forecasting the weather based on past weather patterns. It's a powerful tool that allows computers to make accurate predictions and decisions based on data.