Discriminant Analysis

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• Dynamic Memory Allocation: Dynamic Memory Allocation is the process of allocating memory during the runtime of a program. In this process, the size of memory required by a program is not known beforehand, so the memory is allocated dynamically during the execution of ... Read More >>
• Deep Learning: Deep Learning is a subfield of Machine Learning that involves training artificial neural networks with multiple layers to learn and extract complex features from data. It is inspired by the structure and function of the human brain, where e ... Read More >>
• Classifier: In Data Science, a classifier is a model that is trained to predict the class or category of a given input data point. It is a supervised learning technique that involves training a model on a labeled dataset, where the input data points ar ... Read More >>