Specialized linear algebra techniques refer to specific mathematical methods and approaches tailored to solve problems encountered in data science, such as dimensionality reduction, optimization, and matrix factorization. These techniques leverage the principles of linear algebra to enhance data processing, interpretation, and model development, providing robust solutions in various applications like machine learning and statistical analysis.
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