About this Course

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Intermediate Level
Approx. 20 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 Reduction
  • Python Programming
  • 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.
Intermediate Level
Approx. 20 hours to complete
English

Offered by

Placeholder

Imperial College London

Syllabus - What you will learn from this course

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Week1
Week 1
5 hours to complete

Statistics of Datasets

5 hours to complete
8 videos (Total 27 min), 6 readings, 4 quizzes
Week2
Week 2
6 hours to complete

Inner Products

6 hours to complete
8 videos (Total 36 min), 1 reading, 5 quizzes
Week3
Week 3
4 hours to complete

Orthogonal Projections

4 hours to complete
6 videos (Total 25 min), 1 reading, 3 quizzes
Week4
Week 4
6 hours to complete

Principal Component Analysis

6 hours to complete
10 videos (Total 52 min), 5 readings, 3 quizzes

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About the Mathematics for Machine Learning Specialization

Mathematics for Machine Learning

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