- Eigenvalues And Eigenvectors
- Principal Component Analysis (PCA)
- Multivariable Calculus
- Linear Algebra
Mathematics for Machine Learning
Completed by DANIEL DE SOUSA ROMERO
November 4, 2021
Approximately 15 weeks to complete.DANIEL DE SOUSA ROMERO'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: DANIEL DE SOUSA ROMERO by October 31, 2021
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: DANIEL DE SOUSA ROMERO by November 4, 2021
6 weeks of study, 2-5 hours/week
Mathematics for Machine Learning: PCA
Imperial College London
Taught by: Marc Peter Deisenroth
Completed by: DANIEL DE SOUSA ROMERO by November 4, 2021
4 weeks of study, 4-6 hours/week
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