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.
In this article we are going to focus on how artificial intelligence (AI) can increase efficiency and reduce costs for your company by [...]
Read More »Collecting debts, nowadays, is becoming an arduous task for many companies or freelancers. More and more banks, debt collection [...]
Read More »Intelligent Process Automation in companies has changed in the world very rapidly in recent years. The COVID-19, the interr [...]
Read More »As a consequence of this pandemic and economic situation in which we have found ourselves for the last two years, with the intention of better protecting the [...]
Read More »
