linear algebra

Linear Algebra in Recommendation Systems of Machine Learning

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Linear algebra in machine learning is one of the essential topics to learn and have an idea about, as it is applicable and plays a critical role in many machine learning applications. Recommendation systems are primary unsupervised machine learning applications industries and companies use to recommend particular things to their customers and audience. In this …

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Eigen Decomposition in Machine Learning

data science, machine learning / By

Matrix decomposition in linear algebra is one of the most valuable techniques for reducing the matrix into smaller parts. In matrix decomposition, the eigendecomposition is a fundamental concept that decomposes the matrix in eigen values and eigen vectors. This type of decomposition technique plays an essential role in techniques like Principle component analysis where there …

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