Mathematics
Linear Algebra
The branch of mathematics dealing with vectors, matrices, and linear transformations.
In-depth explanation
Linear algebra is fundamental to machine learning. Vectors represent data points and embeddings. Matrices represent datasets and model weights. Operations like matrix multiplication are core to neural networks. Concepts like eigenvalues, SVD, and projections are used in dimensionality reduction, recommendations, and more.
Examples
Matrix multiplication in neural networks
PCA using eigendecomposition
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