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.
What is Digital Transformation? The industrial revolution profoundly changed the society of the 19th century, but the digital transformation of the [...]
Read More »All businesses usually plan for annual growth, although not all of them achieve it. Increasing the sales of a company in 2022 is [...]
Read More »Data Mining is a process of exploration and analysis of large amounts of data, with the objective of discovering patterns, relationships and trends that can be [...]
Read More »The financial sector is constantly implementing new technologies to modernize and digitize its functions. One of the reasons for this is the processing of [...]
Read More »