Training set, in the context of artificial intelligence and machine learning, refers to a data set that is used to train a machine learning model or algorithm.
The training set consists of a set of labelled examples, where each example includes features (also known as independent variables or predictors) and a label (also known as a dependent or target variable). The machine learning model uses the training set to learn to relate input features to output labels, so that it can generalise to predict output labels for new examples.
The training set is a critical component of the machine learning process, as the quality and quantity of the training data influences the accuracy of the resulting model.
Intelligent Process Automation in companies has changed in the world very rapidly in recent years. The COVID-19, the interr [...]
Read More »Today we are going to talk about the generation of qualified leads for the acquisition of new customers through AI. At Gamco, we develop software based on [...]
Read More »Credit scoring is a system used to rate credits and thus try to automate the decision making process at the time of purchasing a loan, and to [...]
Read More »The first thing you need to know is the limits of AI and after mastering the basic concepts you will be able to build a large commercial software with intelligent [...]
Read More »
