Using Teradata Enterprise Feature Store to Improve Machine Learning and AI Implementation
Features are the valuable intellectual property of an enterprise that will differentiate it from the competition.
Data scientists use statistical and mathematical approaches such as Principal Component Analysis (PCA), Fast Fourier Transformation (FFT), and Class Dependent Binning as well as recoding techniques such as Embeddings to create useful features.
Organizations that can better engineer and use features as inputs to their machine learning and AI projects will see better, more reliable and more predictive results that deliver significant competitive advantage.