Linear Algebra for machine learning and Data science.

Linear Algebra prerequisite for Machine Learning, Computer Science, Data Science, Big Data. Master matrix Algebra
3.79 (7 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Linear Algebra for machine learning and Data science.
76
students
7.5 hours
content
Nov 2021
last update
$39.99
regular price

What you will learn

Classification of matrices

Matrix algebra like addition, subtraction and multiplication

Trace of matrix,transpose of matrix

symmetric and skew symmetric matrix

Real and complex matrices

Orthogonal matrix

Determinant of Matrix: Minors, Cofactors of matrix

Invertible and non Invertible matrix

Inverse of matrix: adjoint of matrix

Finding the Rank of matrices

Row Echlon form

Relation between Rank and vectors of matrix

Linearly independant and dependant vectors

Vector space: Dimension, Basis, Span and Nullity

Solving simultaneous system of linear Equations

Homogeneous and non homogeneous system of equation

Eigen values and their carrosponding Eigen vectors

Properties of eigen values and eigen vector

cayley hamilton theorem

Screenshots

Linear Algebra for machine learning and Data science. - Screenshot_01Linear Algebra for machine learning and Data science. - Screenshot_02Linear Algebra for machine learning and Data science. - Screenshot_03Linear Algebra for machine learning and Data science. - Screenshot_04
3981964
udemy ID
4/14/2021
course created date
4/18/2021
course indexed date
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