*Disclosure: We are a professional review site that receives compensation from the companies whose products we review. We test each product thoroughly and give high marks to only the very best. We are independently owned and the opinions expressed here are our own.*

## Fundamental Course in Linear Algebra for Machine Learning, Data Science, Computer Science and Electrical Engineering

**HOW INTRODUCTION TO LINEAR ALGEBRA |MATRICES| IS SET UP TO MAKE COMPLICATED LINEAR ALGEBRA EASY**

This course deals with concepts required for the study of Machine Learning and Data Science. Matrices is a fundamental of the Theory of Linear Algebra. Linear Algebra is used in Machine Learning, Data Science, Computer Science and Electrical Engineering.

This 48+ lecture course includes video explanations of everything from Fundamental of Matrices, and it includes more than 45+ examples (with detailed solutions) to help you test your understanding along the way. Introduction To Linear Algebra |MATRICES| is organized into the following sections:

- Introduction
- Types of Matrices
- Difference between a Matrix and a Determinant
- Operations on Matrices
- Various Kinds Of Matrices
- Adjoint of a Square Matrix
- Elementary Row and Column Transformation
- Inverse of a Matrix
- Echelon Form and Normal Form of a Matrix
- Rank of a Matrix
- Solution of Simultaneous Linear Equations
- The Reflection Matrix
- Rotation Through an Angle Theta

Summary

Comidoc Rating

Aggregate Rating

3 based on votes

Brand Name

UDEMY

Course Name

Introduction To Linear Algebra |MATRICES|

Price

USD 110

Product Availability

Available in Stock

Introduction To Linear Algebra |MATRICES|