Explaining the concepts of Linear Algebra, from Basics to Advanced. There will also be articles about their application in Computer Science.
- Linear Equation of two variables and Matrices
- Operations on Matrices
- Types of Matrices, Diagonal and Transpose
- Tensors, Scalars, and Vectors
- Gaussian Elimination
- Inverses and Gauss Jordan Elimination
- Vectors
- Vector Components
- Dot and Hadamard Product
- Minors and Cofactors
- Determinants
- Properties of Determinants
- Row picture and Column Picture
- Linear Independence, Rank of Matrix and Span
- Vector Spaces and Subspaces
- Example of Subspaces
- Row space, Column Space and Null Space
- Orthogonality and four fundamental Subspaces
- Dimension and Basis
- Projections
- Norms
- Eigenvalues and Eigenvectors
- List, Arrays, and Matrices in Python3
Sharing articles about the applications of Python programming language in Financial data modeling.
- Why Python is the best choice for financial data modeling in 2019
- Deploy Jupyter Notebook on AWS EC2 instance
- Correlation
- Introduction to TensorFlow
- Graphs and Constants
Explaining concepts of Calculus.
- Limits
- Existence of Limits
- Formal Definition of Limits
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