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How is Matrix used in CSE? - Answers
In Computer Science and Engineering (CSE), matrices are commonly used in various applications, including computer graphics, machine learning, and scientific computing. They serve as a fundamental data structure for representing and manipulating data in multidimensional arrays, enabling operations like transformations, rotations, and scaling in graphics. In machine learning, matrices are utilized to represent datasets and perform operations such as matrix multiplication, which is essential for algorithms like neural networks. Additionally, matrices are integral in solving systems of linear equations, optimization problems, and in numerical simulations.
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How is Matrix used in CSE? - Answers
In Computer Science and Engineering (CSE), matrices are commonly used in various applications, including computer graphics, machine learning, and scientific computing. They serve as a fundamental data structure for representing and manipulating data in multidimensional arrays, enabling operations like transformations, rotations, and scaling in graphics. In machine learning, matrices are utilized to represent datasets and perform operations such as matrix multiplication, which is essential for algorithms like neural networks. Additionally, matrices are integral in solving systems of linear equations, optimization problems, and in numerical simulations.
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How is Matrix used in CSE? - Answers
In Computer Science and Engineering (CSE), matrices are commonly used in various applications, including computer graphics, machine learning, and scientific computing. They serve as a fundamental data structure for representing and manipulating data in multidimensional arrays, enabling operations like transformations, rotations, and scaling in graphics. In machine learning, matrices are utilized to represent datasets and perform operations such as matrix multiplication, which is essential for algorithms like neural networks. Additionally, matrices are integral in solving systems of linear equations, optimization problems, and in numerical simulations.
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- og:descriptionIn Computer Science and Engineering (CSE), matrices are commonly used in various applications, including computer graphics, machine learning, and scientific computing. They serve as a fundamental data structure for representing and manipulating data in multidimensional arrays, enabling operations like transformations, rotations, and scaling in graphics. In machine learning, matrices are utilized to represent datasets and perform operations such as matrix multiplication, which is essential for algorithms like neural networks. Additionally, matrices are integral in solving systems of linear equations, optimization problems, and in numerical simulations.
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