Mathematics for Machine Learning

About

This repository contains materials and notes related to Mathematics for Machine Learning, including topics such as Linear Algebra, Calculus, Probability & Statistics, and Neural Networks. It is a work in progress and will be expanded with additional lab

Resources

• 01 - NumPy Arrays and Linear Systems as Matrices
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• 02 - Numpy_linalg sub-library
• 03 - Gaussian Elimination
• 04 - Scalar Multiplication, Sum and Dot Product of Vectors
• 05 - Matrix Multiplication and Linear Transformations
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• 06 - Single Perceptron Neural Networks for Linear Regression
• 07 - Interpreting eigenvalues and eigenvectors
• 08 - Application of Eigenvalues and Eigenvectors Webpage navigation model and PCA

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