Popular machine learning algorithms
Machine learning employs many algorithms to model and understand complex data. When learning from data, these algorithms can be viewed as the machine’s “recipe.” While it’s not necessary to understand the intricate workings of each algorithm, it is helpful to have an overview of some commonly used ones and their general applications.
Linear regression
In Chapter 5, we explored linear regression, a technique traditionally rooted in statistics. However, linear regression can also be considered one of the simplest examples of a supervised machine learning technique.
Linear regression, in a machine learning context, involves training a model to predict a dependent variable (such as sales) based on one or more independent variables (such as advertising spend and market conditions). The algorithm learns from historical data, identifying patterns and relationships. For instance, in a business setting, a company might...
