Matrices, a fundamental concept in mathematics, have a significant impact not only in the classroom but also in various real-world applications. From economics to computer science, matrices play a crucial role in solving complex problems and representing real- life situations. Real World Applications of Matrices:: One notable application of matrices is in data analysis and machine learning. In their article titled " Machine Learning with Matrix Calculations," Jones et al. (2019) discuss how matrices are used to process and transform vast amounts of data. By representing data sets as matrices researchers can develop sophiscated algorithms that help uncover patterns, make predictions, and improve decision-making processes. Matrices also play a crucial role in economics and finance. In a research article published by Smith and Johnson (2018), the authors explore the application of matrices in portfolio optimization. By constructing matrices to represent asset returns and risk, investors can efficiently allocate their investments and reduce overall risk. This application showcases how matrices contribute to maximizing returns while considering market volatility. Another example of how matrices are used in the real world is in the field of economics, Economists often utilize matrices to analyze and model the interactions between multiple variables. For instance, matrices