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.
GAMCO is a pioneer in the creation of Artificial Intelligence and Machine Learning software solutions. GAMCO's solutions are designed to [....]
Read More »Artificial intelligence (AI) and machine learning (ML) are two of the most popular technologies used to build intelligent systems for the [...]
Read More »As e-commerce continues to grow at a dizzying pace, fraudsters are also finding new and sophisticated ways to exploit the potential [...]
Read More »Machine learning is a branch of artificial intelligence (AI) that is based on making a system capable of learning from the information it receives.
Read More »
