About this Course

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Coursera Labs
Includes hands on learning projects.
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Beginner Level
Approx. 18 hours to complete
English

Skills you will gain

  • Eigenvalues And Eigenvectors
  • Basis (Linear Algebra)
  • Transformation Matrix
  • Linear Algebra
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level
Approx. 18 hours to complete
English

Offered by

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Imperial College London

Syllabus - What you will learn from this course

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Week1
Week 1
2 hours to complete

Introduction to Linear Algebra and to Mathematics for Machine Learning

2 hours to complete
5 videos (Total 28 min), 4 readings, 3 quizzes
Week2
Week 2
2 hours to complete

Vectors are objects that move around space

2 hours to complete
8 videos (Total 44 min)
Week3
Week 3
3 hours to complete

Matrices in Linear Algebra: Objects that operate on Vectors

3 hours to complete
8 videos (Total 57 min)
Week4
Week 4
7 hours to complete

Matrices make linear mappings

7 hours to complete
6 videos (Total 53 min)

Reviews

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About the Mathematics for Machine Learning Specialization

Mathematics for Machine Learning

Frequently Asked Questions

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