Medium Publications

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Linear Algebra

Explaining the concepts of Linear Algebra, from Basics to Advanced. There will also be articles about their application in Computer Science.

Basics

• 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

Advanced

• 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

Applications

• List, Arrays, and Matrices in Python3

PyFinance

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

Statistics

• Correlation

TensorFlow

• Introduction to TensorFlow
• Graphs and Constants

Complete Calculus

Explaining concepts of Calculus.

Limits

• Limits
• Existence of Limits
• Formal Definition of Limits