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.
The rise of Artificial Intelligence (AI) in business is very topical. Its use is spreading and is changing, even, the models [...]
Read More »When seeking financing for companies, one of the most widely used formulas today is factoring. This is a resource that is not always [....]
Read More »If you've ever wondered how Spotify recommends songs you like or how Siri and Alexa can understand what you say to them... the answer is that you can [...]
Read More »Since 2008, several countries have enacted legislation that recognizes the importance of integrating artificial intelligence (AI) into key areas of life [...]
Read More »