Matrix operations are fundamental in Machine Learning, enabling efficient manipulation and transformation of data. Key operations include matrix addition, subtraction, multiplication, and transposition. These operations are used in various ML tasks, such as linear transformations, neural network computations, and solving systems of equations. Mastering matrix operations is crucial for understanding and implementing complex ML algorithms.
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