Читать книгу Data Science For Dummies - Lillian Pierson - Страница 70

Any intermediate-level data scientist should have a good understanding of linear algebra and how to do math using matrices. Array and matrix objects are the primary data structure in analytical computing. You need them in order to perform mathematical and statistical operations on large and multidimensional datasets — datasets with many different features to be tracked simultaneously. In this section, you see exactly what is involved in using linear algebra and machine learning methods to reduce a dataset’s dimensionality — in other words, to reduce a dataset’s feature count, without losing the important information the dataset contains, by compressing its features’ information into synthetic variables that you can subsequently utilize to make predictions or as input into another machine learning model.