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.
Achieving business goals and tracking success is an important aspect of improving any business. In sales, measuring the progress of [...]
Read More »ERP stands for Enterprise Resource Planning and is a computerized planning and business management system capable of integrating the information [...]
Read More »When it comes to gaining new clients, everything is joy and satisfaction for being able to provide them with our service or sell them our product in the best way possible, and we [...]
Read More »Deep learning translates as deep learning and is a type of artificial intelligence (AI) that is encompassed within machine learning.
Read More »
