Imperial College London
Mathematics for Machine Learning Specialization
Imperial College London

Mathematics for Machine Learning Specialization

Mathematics for Machine Learning. Learn about the prerequisite mathematics for applications in data science and machine learning

David Dye
Samuel J. Cooper
Marc Peter Deisenroth

Instructors: David Dye

216,886 already enrolled

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4.6

(12,820 reviews)

Beginner level
No prior experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.6

(12,820 reviews)

Beginner level
No prior experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

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Taught in English

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Specialization - 3 course series

Mathematics for Machine Learning: Linear Algebra

Course 118 hours4.7 (12,095 ratings)

What you'll learn

Skills you'll gain

Category: Eigenvalues And Eigenvectors
Category: Basis (Linear Algebra)
Category: Transformation Matrix
Category: Linear Algebra

Mathematics for Machine Learning: Multivariate Calculus

Course 217 hours4.7 (5,609 ratings)

What you'll learn

Skills you'll gain

Category: Linear Regression
Category: Vector Calculus
Category: Multivariable Calculus
Category: Gradient Descent

Mathematics for Machine Learning: PCA

Course 320 hours4.0 (3,083 ratings)

What you'll learn

  • Implement mathematical concepts using real-world data

  • Derive PCA from a projection perspective

  • Understand how orthogonal projections work

  • Master PCA

Skills you'll gain

Category: Dimensionality Reduction
Category: Python Programming
Category: Linear Algebra

Instructors

David Dye
Imperial College London
2 Courses417,441 learners

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