Artificial Intelligence, Machine Learning, Deep Learning and The Math
31 March 2023
Artificial Intelligence introduces either supervised or unsupervised agents to collect information from the environment, check the other conditional parameters and provide the output decisions. Whereas, ML asks the same information from a pre-existing dataset(s) either labelled or unlabeled, and therefore responsible to extract the features from the dataset(s), find out the correct pattern set (vectors) of different classes and assists in making correct predictive decisions. The deep learning requires to preprocess the raw datasets first, secondly extract features from it, and thereafter create a pattern to match up with the expected outcome. In our study we focused on how to extract unique features from pre-existing datasets. Mathematics plays a crucial role in finding the unique features. Those unique features, once identified and filtered, are able to contribute towards pattern recognition and accurate decision making.