Mathematical Models

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• Variances: Variances refer to the measure of how spread out a set of data is. In data science, variances are used to determine the variability of a dataset and how much the data points deviate from the mean. It is calculated by taking the average of t ... Read More >>
• Classification: Classification is a supervised learning technique in which an algorithm learns from labeled data to predict the class or category of new, unlabeled data. The goal of classification is to accurately assign new observations to previously defi ... Read More >>
• Communication Systems: Communication Systems refer to the collection of hardware, software, and protocols that enable the exchange of information between two or more devices or entities. In the context of Data Science and Artificial Intelligence, communication sy ... Read More >>