Udemy – Complete Linear Algebra for Data Science & Machine Learning 2020-2

Published on: 2020-04-07 18:49:51

Categories: 28

Description

Complete Linear Algebra for Data Science, name of the training video series in the field of software engineering and linear algebra can be. In truth you in this course to form a very comprehensive and complete with the concept of linear algebra for use in science data and machine learning will be familiar. All content and teaching this course to the simplest form possible to the students is presented. There are various tests at the end of the sessions, to help students with the skills to form your basic improve.

Also in the making of this course it is assumed that your students any knowledge and previous experience you have not. Hence, all content, step by step, you will be trained. The approach of the course also carried out in accordance with practice real can you learn realistic and practical help. This course is for developers, data, artificial intelligence, learning, machine, learning, and … computer graphics and…, programming, etc will be very suitable.

Cases in which the course is taught:

Learning and thorough acquaintance with the basics of linear algebra
Familiarity with the concept and foundations of Matrix and use it in projects
Learning operations on a Matrix unit, such as the transfer of the scale
Learn how to operations on the two matrices, such as multiplication of Matrix
Learn how to solve systems of linear equations using Matrix and Matrix inverse
And…

Profile, course, Complete, Linear Algebra for Data Science

Language : English
Time duration : 17:53:59
Number of courses: 210
Instructor : Kashif A.
File format : mp4

This course will Complete Linear Algebra for Data Science

Course content
210 lectures 17:53:59

Welcome and Introduction
1 lecture 02:43

Basics of Matrices
6 lectures 32:28

Basics of Matrices (Continued)
12 lectures 01:18:49

Matrices and Systems of Linear Equations
7 lectures 46:36

Matrix Algebra and Operations
5 lectures 21:24

Determinant of a Matrix
4 lectures 20:43

Inverse of a Matrix
7 lectures 46:30

Properties of Determinants
6 lectures 14:57

*** OPTIONAL: Introduction to Vectors
11 lectures 52:30

Vector Spaces
9 lectures 40:04

Subspace and Nullspace
7 lectures 24:25

Span and Spanning Sets
5 lectures 20:02

Linear Dependence and Independence
7 lectures 31:54

Basis and Dimension
6 lectures 17:54

Eigenvalues and Eigenvectors
3 lectures 22:20

Basic Algebra Concepts (Additional Lessons)
78 lectures 04:41:52

Congratulations and Bonus Material
36 lectures 05:18:44

Prerequisite course

A passion to learn about Matrices and Vectors
Ability to perform basic Mathematical operations (+, -, x, ÷) on numbers and fractions
Knowledge of how to solve a linear equation (e.g., find x in 3x-4=11)
Understanding of basic Algebra concepts, e.g., Powers and Roots, simplifying Fractions, Factorization, solving Equations and drawing Graphs.
You only need to know basic Math and Algebra to take this course.
And the best thing is, most of the above prerequisite topics are covered inside the course