Data Science, Machine Learning, Programming, Technology, Mathematics.
Unsplash Another reason why linear algebra is so important to data scientist is its application in dimensionality reduction using a technique called Principle Component Analysis (PCA). Dimensionality reduction is an important step in preprocessing of data sets used for machine learning purposes.