Current
Intermediate
40% Off
Mathematics for Machine Learning Specialization
Coursera · Imperial College London · Updated March 2026
Platform rating
4.3/5
AI Tutor Rating
7.8/10
Duration
4-6 months
Classes
150
Build the mathematical foundations for machine learning from Imperial College London covering linear algebra, multivariate calculus, and PCA.
What you'll get
Master linear algebra for machine learning
Apply calculus and optimization to neural networks
Use probability and statistics for ML rigorously
Fit
Best for
AI Researchers
PhD Students
Mathematicians
Frontier Scientists
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
High school mathematics
Pricing
Subscription
Certification
Certificate
Growth Leverage: Completing this course positions you for roles like Data Scientist, Machine Learning Engineer, or AI Researcher, where mastering linear algebra and calculus is vital. You'll also be prepared for certifications like TensorFlow Developer or AWS Certified Machine Learning, significantly enhancing your skill set and job prospects.
Skills Value: Employers pay a premium for skills in linear algebra and optimization, essential for developing algorithms and models; these skills can lead to salaries exceeding $120,000 in tech hubs. You'll be equipped to solve complex problems in data analysis, predictive modeling, and AI applications.
Mathematics
Linear Algebra
Calculus
PCA
Machine Learning
Statistics