Mathematics for Machine Learning Specialization
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Duration
4 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Effort
4 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
International Faculty
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
What You Will Learn
Implement mathematical concepts using real-world data
Derive PCA from a projection perspective
Understand how orthogonal projections work
Master PCA
Course Instructors
David Dye is a Professor of Metallurgy in the Department of Materials. He develops alloys for jet engines, nuclear and caloric materials so as to reduce fuel burn and avoid in-service failure. This i...
Dr Sam Cooper is an Associate Professor in energy science and materials design in the Dyson School of Design Engineering at Imperial College London. His PhD was on the characterisation and optimisati...
Dr Freddie Page is the Strategic Teaching Fellow in the Dyson School of Design Engineering, Imperial College London. He graduated with a MPhys from the University of Oxford in 2011 and got his PhD in...
Marc Deisenroth is a Lecturer (equivalent to an Assistant Professor in the US) in Statistical Machine Learning at the Department of Computing, Imperial College London. Marc was Program Chair of EWRL ...
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