In the context of artificial intelligence and machine learning, analytics refers to the process of examining and understanding data using statistical and algorithmic techniques to identify patterns, relationships and trends. Analytics is an essential part of any artificial intelligence or machine learning project, as it allows researchers and developers to extract valuable information from data and use it to make informed decisions or create predictive models.
Data analysis can be performed in different ways, depending on the objective and the dataset in question. Some common techniques include exploratory data analysis, descriptive analysis, correlation analysis, regression analysis, clustering analysis and principal component analysis, among others.
In the context of machine learning, analytics can also refer to the evaluation of machine learning models to determine their accuracy and performance in different situations. This may involve using metrics such as accuracy, recall, F1-score and area under the curve (AUC) to measure model performance on training and test data sets.
AI technologies are currently being used in companies to transform business processes, boost customer interaction and improve customer service.
Read More »Fernando Pavón, CEO of Gamco and expert in Artificial Intelligence applied to business explains to us in the AceleraPYMES cycle how small companies can [...]
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 »Chargeback refers to refunds that occur when, at the request of a cardholder, the bank requests a refund on his or her behalf [...].
Read More »
