Pattern Recognition and Intelligent Systems

pattern recognition  ML is a feature which can learn from data and iteratively keep updating itself to perform better but, Pattern recognition does not learn Pattern Recognition can be defined as the classification of the data on the basis of the knowledge gained or on the basis of statistical information extracted

Pattern Recognition in Computer Science is fundamentally the translation of machine learning By mimicking the human brain's capability to associate past In machine learning , pattern recognition is the process of discovering similarities within small problems to solve larger, more complicated

Pattern recognition is the task of assigning a class to an observation based on patterns extracted from data While similar, pattern recognition is not Pattern recognition uses machine learning algorithms for the purpose of classification, we need