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Essential-Math-for-Machine-Learning-Python-Edition
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01-01-Introduction to Equations.ipynb
01-01-Introduction to Equations.ipynb
01-02-Linear Equations.ipynb
01-02-Linear Equations.ipynb
01-03-Systems of Equations.ipynb
01-03-Systems of Equations.ipynb
01-04-Exponentials Radicals and Logarithms.ipynb
01-04-Exponentials Radicals and Logarithms.ipynb
01-05-Polynomials.ipynb
01-05-Polynomials.ipynb
01-06-Factorization.ipynb
01-06-Factorization.ipynb
01-07-Quadratic Equations.ipynb
01-07-Quadratic Equations.ipynb
01-08-Functions.ipynb
01-08-Functions.ipynb
02-01-Rate of Change.ipynb
02-01-Rate of Change.ipynb
02-02-Limits.ipynb
02-02-Limits.ipynb
02-03-Differentiation and Derivatives.ipynb
02-03-Differentiation and Derivatives.ipynb
02-04-Critical Points and Optimization.ipynb
02-04-Critical Points and Optimization.ipynb
02-05-Multivariate Functions and Partial Derivatives.ipynb
02-05-Multivariate Functions and Partial Derivatives.ipynb
02-06-Integration.ipynb
02-06-Integration.ipynb
03-01-Vectors.ipynb
03-01-Vectors.ipynb
03-02-Vector Multiplication.ipynb
03-02-Vector Multiplication.ipynb
03-03-Matrices.ipynb
03-03-Matrices.ipynb
03-04-More Matrices.ipynb
03-04-More Matrices.ipynb
03-05-Transformations Eigenvectors and Eigenvalues.ipynb
03-05-Transformations Eigenvectors and Eigenvalues.ipynb
04-06-Hypothesis Testing.ipynb
04-06-Hypothesis Testing.ipynb
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Essential-Math-for-Machine-Learning-Python-Edition
Microsoft: DAT256x (EdX course)
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