Markov Chains

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• Probabilistic Model: A probabilistic model is a mathematical framework for representing uncertain knowledge or incomplete information about a system using probability theory. In data science, probabilistic models are used to make predictions or decisions based ... Read More >>
• Program Optimization: Program optimization refers to the process of improving the performance of a computer program by making it run faster, use less memory, or consume fewer other resources. This is typically achieved by analyzing the program's code and making ... Read More >>
• Predictor Variable: In Data Science, a predictor variable is a variable that is used to predict the value of another variable, known as the response variable. Predictor variables are also known as independent variables, input variables, or features. In statist ... Read More >>