About this Specialization

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For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science. In the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them. The second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting. The third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge. At the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.
Learner Career Outcomes
50%
Started a new career after completing this specialization.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 4 months to complete
Suggested 4 hours/week
English
Subtitles: English, French, Portuguese (Brazilian), Greek, Russian, Spanish...
Learner Career Outcomes
50%
Started a new career after completing this specialization.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 4 months to complete
Suggested 4 hours/week
English
Subtitles: English, French, Portuguese (Brazilian), Greek, Russian, Spanish...

There are 3 Courses in this Specialization

Course1

Course 1

Mathematics for Machine Learning: Linear Algebra

4.7
stars
8,064 ratings
1,622 reviews
Course2

Course 2

Mathematics for Machine Learning: Multivariate Calculus

4.7
stars
3,861 ratings
683 reviews
Course3

Course 3

Mathematics for Machine Learning: PCA

4.0
stars
2,078 ratings
508 reviews

Offered by

Placeholder

Imperial College London

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