![]() It is a vital cog in a data scientists’ skillset. Linear algebra is behind all the powerful machine learning algorithms we are so familiar with. When the programming languages for data science offer a plethora of packages for working with data, people don’t bother much with linear algebra. I have personally seen a LOT of data science enthusiasts skip this subject because they find the math too difficult to understand. ![]() But in reality, it powers major areas of Data Science including the hot fields of Natural Language Processing and Computer Vision. If Data Science was Batman, Linear Algebra would be Robin. We have categorized these applications into various fields – Basic Machine Learning, Dimensionality Reduction, Natural Language Processing, and Computer Vision.Here, we present 10 such applications where linear algebra will help you become a better data scientist.Linear algebra powers various and diverse data science algorithms and applications.
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