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Why this course?

Linear Algebra

Vectors and matrices — the language of data and models.

Calculus for ML

How models learn: gradients and optimisation.

Understand Algorithms

See what really happens inside ML models.

Program Overview

Mathematics for Machine Learning gives you the mathematical foundations that make ML make sense. With an intuition-and-code approach, you'll master the essentials of linear algebra, calculus, probability and optimisation — enough to understand, tune and trust machine-learning algorithms rather than treating them as black boxes.

Course Highlights:
  • Intuition + Code: Concepts shown visually and in Python, not just proofs.
  • Linear Algebra: Vectors, matrices and operations behind every model.
  • Calculus & Gradients: How models optimise and learn from data.
  • Probability for ML: Uncertainty, likelihood and probabilistic thinking.
Prerequisites

High-school maths! Comfort with basic algebra is enough — we build from there. Ideal for those serious about understanding machine learning deeply.

Edmire Certified

Earn the "Maths for ML" badge upon completing all modules and the hands-on final assessment.

Verifiable Credential

Tools & Libraries You'll Master

Linear Algebra
Calculus
Probability
Python
NumPy
ML Foundations

Course Curriculum

5 Modules
Module 01
Linear Algebra Essentials

Vectors, matrices, operations and their meaning for data.

7 Hours
Module 02
Calculus for Machine Learning

Derivatives, gradients and how models minimise error.

7 Hours
Module 03
Probability & Statistics for ML

Distributions, likelihood and probabilistic reasoning.

6 Hours
Module 04
Optimisation Foundations

Gradient descent and how algorithms actually learn.

4 Hours
Module 05
Applying the Maths & Capstone

Connect the maths to real ML models in code.

4 Hours

Where This Can Take You

ML Engineer

Understand and tune algorithms with confidence.

Data Scientist

Choose and trust the right models for the problem.

Research Track

A foundation for deep learning and research.

Applied Analyst

Reason rigorously about models and results.

Frequently Asked Questions

Q: How advanced does the maths get?

We keep it practical and intuition-led — enough to truly understand machine learning, taught with visuals and Python rather than heavy proofs. If you're comfortable with school algebra, you can follow it.

Light Python is used to bring the maths to life, but this is a maths course, not a coding one. Any Python is taught as needed.

To receive the Edmire Maths for ML Certificate, complete all 5 modules and the applied capstone connecting the maths to real ML models. Resubmission is free if needed.

You can run models without it — but to choose, tune and trust them, the maths matters. This course turns ML from a black box into something you genuinely understand.

Classroom training at our Dubai centre, live online instructor-led classes, or custom in-house delivery — with all materials yours to keep.

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