Mathematics for machine learning and artificial intelligence:
1- Scalars, Vectors, and Matrices. Tensor; Adding and subtracting matrices. Errors when adding scalars, vectors, and matrices in Python.
2- Tranpose of a matrix. Dot product.
3- Eigenvalues and eigenvectors, Norms and Eigendecomposition
4- Derivatives, Integrals, Gradients, Differential Operators, Convex Optimization