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$49

First Steps in Linear Algebra for Machine Learning

Created by -

Dmitri Piontkovski,Vsevolod L. Chernyshev
,
HSE University

0.00

(0 ratings)

English

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Overview

The main goal of the course is to explain the main concepts of linear algebra that are used in data analysis and machine learning. Another goal is to improve the student’s practical skills of using linear algebra methods in machine learning and data analysis. You will learn the fundamentals of working with data in vector and matrix form, acquire skills for solving systems of linear algebraic equations and finding the basic matrix decompositions and general understanding of their applicability.

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USD 49

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Type: Online

This course includes

  • Approx. 20 hours to complete
  • Earn a Certificate upon completion
  • Start instantly and learn at your own schedule.

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course image

USD 49

provider image

Type: Online

This course includes

  • Approx. 20 hours to complete
  • Earn a Certificate upon completion
  • Start instantly and learn at your own schedule.

Taken this course?

Share your experience with other students

Share

Add Review

First Steps in Linear Algebra for Machine Learning

Created by -

Dmitri Piontkovski,Vsevolod L. Chernyshev
,
HSE University

0.00

(0 ratings)

All Levels

Start Date: February 10th 2021

Course Description

The main goal of the course is to explain the main concepts of linear algebra that are used in data analysis and machine learning. Another goal is to improve the student’s practical skills of using linear algebra methods in machine learning and data analysis. You will learn the fundamentals of working with data in vector and matrix form, acquire skills for solving systems of linear algebraic equations and finding the basic matrix decompositions and general understanding of their applicability.

The information used on this page is how each course is described on the Coursera platform.

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About the Instructor

Dmitri Piontkovski,Vsevolod L. Chernyshev,HSE University

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