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

Description

Complete Linear Algebra for Data Science is the name of a video training package in the field of software engineering and linear algebra. In fact, in this course you will be introduced to the concept of linear algebra for use in data science and machine learning in a very comprehensive and complete way. All the materials and teachings of this course are presented to the students in the simplest possible way. Having different tests at the end of the sessions helps students to improve their skills fundamentally by doing them.

Also, in making this training course, it is assumed that you students did not have any previous knowledge and experience. Therefore, all the contents will be taught to you step by step. The approach of this course can also help you in realistic and practical learning by doing real exercises. This course will be very suitable for data developers, artificial intelligence, machine learning, deep learning, computer graphics, programming and so on.

Items that are taught in this course

Learn and become fully acquainted with the basics of linear algebra

Familiarity with the concept and basics of the matrix and its use in projects

Learn to perform operations on a single matrix such as scale transfer

Familiarity with how to operate on two matrices such as matrix multiplication

Learn how to solve a system of linear equations using matrices and inverse matrices

Complete Linear Algebra Course Details for Data Science

English language

Duration: 17:53:59

Number of courses: 210

Instructor: Kashif A.

File format: mp4

Course Topics 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

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

Installation

After Extract, watch with your favorite Player.

Subtitle: None.

Quality: 720p