Encoded data refers to data that has been transformed from its original format into a different, structured format, so that it can be processed more efficiently and effectively by an artificial intelligence or machine learning system.
Data encoding is an important process in data pre-processing, as it allows data to be more easily read and understood by machine learning algorithms. Some common examples of data encoding include encoding class labels as integers, transforming categorical values into binary numeric values (as in one-hot encoding), or normalising numeric values to fall within a specific range (as in min-max normalisation).
Coded data is important because it allows artificial intelligence or machine learning models to work more efficiently and effectively with the data, which can significantly improve the accuracy and performance of the model.
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 »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 »Unlike a computer program, in which a list of commands are processed through a computer program, AI goes beyond the [...]
Read More »Collecting debts, nowadays, is becoming an arduous task for many companies or freelancers. More and more banks, debt collection [...]
Read More »
