About this Course

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Learner Career Outcomes

13%

got a tangible career benefit from this course
Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level
Approx. 19 hours to complete
English

Skills you will gain

Eigenvalues And EigenvectorsBasis (Linear Algebra)Transformation MatrixLinear Algebra

Learner Career Outcomes

13%

got a tangible career benefit from this course
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.
Beginner Level
Approx. 19 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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Week
1

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
Week
2

Week 2

2 hours to complete

Vectors are objects that move around space

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

Week 3

3 hours to complete

Matrices in Linear Algebra: Objects that operate on Vectors

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

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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