About this Course

Learner Career Outcomes

47%

started a new career after completing these courses

44%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 18 hours to complete
English

What you will learn

  • Implement mathematical concepts using real-world data

  • Derive PCA from a projection perspective

  • Understand how orthogonal projections work

  • Master PCA

Skills you will gain

Dimensionality ReductionPython ProgrammingLinear Algebra

Learner Career Outcomes

47%

started a new career after completing these courses

44%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 18 hours to complete
English

Offered by

Placeholder

Imperial College London

Syllabus - What you will learn from this course

Content RatingThumbs Up82%(5,982 ratings)Info
Week
1

Week 1

5 hours to complete

Statistics of Datasets

5 hours to complete
8 videos (Total 27 min), 6 readings, 4 quizzes
Week
2

Week 2

5 hours to complete

Inner Products

5 hours to complete
8 videos (Total 36 min), 1 reading, 5 quizzes
Week
3

Week 3

4 hours to complete

Orthogonal Projections

4 hours to complete
6 videos (Total 25 min), 1 reading, 3 quizzes
Week
4

Week 4

5 hours to complete

Principal Component Analysis

5 hours to complete
10 videos (Total 52 min), 5 readings, 2 quizzes

Reviews

TOP REVIEWS FROM MATHEMATICS FOR MACHINE LEARNING: PCA

View all reviews

About the Mathematics for Machine Learning Specialization

Mathematics for Machine Learning

Frequently Asked Questions

More questions? Visit the Learner Help Center.