Mathematics, Statistics: Linear Algebra

Applications of Linear Algebra Part 2

Provider: edX

Transparency note: Some course providers support the operation of our search portal with referral commissions.

Content

This online course explores applications of linear algebra in the field of data mining by learning fundamentals of search engines and other applications.

Add to my Course Planner

Study
Together!

Davidson College

Instructor:	Tim Chartier
Provided by:	edX
Course language:	English
Fees:	free course
Level:	beginner
Certificate available?	(fee)
Format:	MOOC/online course

Go to online course

Transparency note: Some course providers support the operation of our search portal with referral commissions.

Go to online course

Transparency note: Some course providers support the operation of our search portal with referral commissions.

How do you like the course 'Applications of Linear Algebra Part 2'?

Other online courses in Mathematics, Statistics

edX Ad

Introduction to Algebra

Algebra

SchoolYourself

Us 694eec6007119ca02728aae9eb449d3539cb5ff926eb6de57ae6df04f2285edb

En 3e1ad5aab8ca1b61326aeb33a4d995315a4ee3db1463c7db374a8b9b5a7e1938

In this course, students will be able to choose their own path within each lesson, and they can jump between lessons to quickly review earlier material. AlgebraX covers a...

edX Ad

Introduction to Probability: Part II – Inference & Processes

Probabilistic Models, Statistics Basics

Massachusetts Institute of Technology

This online course explores how to use probability theory to develop the basic elements of statistical inference and important random process models.

edX Ad

Introduction to Statistics: Descriptive Statistics

Statistics Basics

Berkeley

This online course is about an introduction to descriptive statistics, emphasizing critical thinking and clear communication.

Coursera Ad

Improving your statistical inferences

statistical conclusions

Eindhoven University of Technology

This online course aims to help participants to draw better statistical inferences from empirical research.

... more courses from this subject