![]() Matrices can be interpreted as a transformation to vectors, like scaling, rotation or rotation. If we combine several vectors together, we get a matrix. To start learning linear algebra, we need to start understanding what are the properties of vectors (linear dependence or independence), what we can do with them (dot and cross products), and the properties of the spaces they exist in (subspaces). We can then imagine that the boat’s velocity vector as x =. In the past hour, we can imagine that the boat has moved 3 miles north and 4 miles east, such that it is moving 5 miles per hour in the north-east direction. In this post, I will highlight how I learnt about the linear algebra required for data science.
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