Linear algebra for machine learning: Machine Learning course | Zoonk
5. Linear algebra for machine learning
Work with vectors, matrices, dot products, transformations, eigenvectors, and matrix decompositions. Connect these operations to datasets, model parameters, embeddings, and dimensionality reduction.
