Practical Algorithms

Digital Marketing - Study Notes:

Some commonly used practical algorithms include:

• Linear regression: This is a more basic algorithm in the groups of advanced analytics. It is widely used because people can easily visualize how it is working and how the input data is related to the output data. The goal of linear regression is to identify the relationship in the form of a mathematical formula that describes the dependent variable in terms of the independent variable.
• Logistic regression: This is focused on categorization of data; its goal is to categorize whether an input variable fits within a category or not. The output of logistic regression is a value between 0 and 1. The closer the result is to 1, the more of a fit the data is in that category
• Classification and regression trees: These use a decision to categorize data based on questions related to one of the input variables. With each question and corresponding response, the data moves closer to being categorized.