Mathematics for Machine Learning

Completed by Sagun Shrestha

March 14, 2019

Approximately 1 months at 10 hours a week to complete

Course Certificates Completed

Mathematics for Machine Learning: Linear Algebra

Mathematics for Machine Learning: Multivariate Calculus

Mathematics for Machine Learning: PCA

Mathematics for Machine Learning

Imperial College London

4.6 (12,642 ratings)

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210K Students Enrolled

View certificate for Sagun Shrestha, Mathematics for Machine Learning, offered through Coursera. A sequence of 3 courses on the prerequisite mathematics for applications in data science and machine learning. Successful participants learn how to represent data in a linear algebra context and manipulate these objects mathematically. They are able to summarise properties of data sets and map them onto lower dimensional spaces with principal component analysis. Finally they can solve optimisation problems and use this skill to train models for describing data such as simple neural networks.

Course Certificates

Earned after completing each course in the Specialization

Mathematics for Machine Learning: Linear Algebra

Imperial College London

Taught by: David Dye, Samuel J. Cooper & A. Freddie Page

Completed by: Sagun Shrestha by August 15, 2018

5 weeks of study, 2-5 hours/week

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Mathematics for Machine Learning: Multivariate Calculus

Imperial College London

Taught by: Samuel J. Cooper, David Dye & A. Freddie Page

Completed by: Sagun Shrestha by March 2, 2019

6 weeks of study, 2-5 hours/week

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Mathematics for Machine Learning: PCA

Imperial College London

Taught by: Marc Peter Deisenroth

Completed by: Sagun Shrestha by March 14, 2019

4 weeks of study, 4-6 hours/week

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