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This is a formula sheet for "Coursera Mathematics for Machine Learning Specialization", a sequence of 3 courses on the prerequisite mathematics for applications in data science and machine learning. The specialization deals with representing data in a linear algebra context and manipulation of these objects mathematically. Summarizing the properties of data sets and mapping them onto lower-dimensional spaces with principal component analysis. Finally, solving optimization problems and using this skill to train models for describing data such as simple neural networks.
PCA, machine learning, linear algebra, mathematics, cheat sheet, multivariate calculus
PCA, machine learning, linear algebra, mathematics, cheat sheet, multivariate calculus
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