Eigenvalues And EigenvectorsPrincipal Component Analysis (PCA)Multivariable CalculusLinear Algebra
Mathematics for Machine Learning
Completed by Sagun Pratap Shrestha
March 14, 2019
5 weeks of study, 2-5 hours/week average per course
Sagun Pratap Shrestha's account is verified. Coursera certifies their successful completion of Imperial College London Mathematics for Machine Learning Specialization.
Course Certificates Completed
Mathematics for Machine Learning: Linear Algebra
Mathematics for Machine Learning: Multivariate Calculus
Mathematics for Machine Learning: PCA
Skills you will gain
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 Pratap Shrestha by August 15, 2018
5 weeks of study, 2-5 hours/week
Mathematics for Machine Learning: Multivariate Calculus
Imperial College London
Taught by: Samuel J. Cooper, David Dye & A. Freddie Page
Completed by: Sagun Pratap Shrestha by March 2, 2019
6 weeks of study, 2-5 hours/week
Mathematics for Machine Learning: PCA
Imperial College London
Taught by: Marc Peter Deisenroth
Completed by: Sagun Pratap Shrestha by March 14, 2019
4 weeks of study, 4-6 hours/week
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