Representation of Data: Machine learning models operate on data, which is often represented as matrices and vectors. Linear algebra provides the mathematical framework to manipulate and process this ...

**pre-reqs:** *none* I know who you are. I have seen you before and talked to you before. You are taking introductory physics and you are scared. Why does this have to be so difficult? It seems like ...

Abstract: The mention of "linear algebra" immediately conjures up columns and arrays of numbers. But the relevance of this field goes much beyond recipes for shuffling and combining lists of numbers.

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This repository intends to give a brief over view of Linear Algebraic operations involved in Machine learning. The content of the repository is Jupyter notebook format for Jason brownlee's book Basics ...

Our first block starts with some practice with numbers, then moves on to basic algebra including notation, indices, simplifying expressions, removing brackets and factorisation. See what you can ...