Current

Intermediate

Mathematics for Machine Learning & Data Science

Udemy · Jon Krohn · Updated March 2026

Platform rating

4.3/5

AI Tutor Rating

7.8/10

Duration

22 hours video

Classes

160

Master the math behind ML: linear algebra, calculus, probability, and optimization with Python code examples and exercises.

What you'll get

Master linear algebra for machine learning

Apply calculus and optimization to neural networks

Implement numerical methods for ML algorithms

Course Curriculum

12 chapters

Fit

Best for

AI Researchers

PhD Students

Mathematicians

Frontier Scientists

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Basic algebra

Pricing

$14.99

Certification

Certificate

Growth Leverage: Completing this course positions you for roles such as Data Scientist, Machine Learning Engineer, or AI Researcher, expanding your career opportunities in high-demand sectors and paving the way for advanced certifications like TensorFlow Developer or Certified Data Scientist.

Skills Value: Employers value the ability to apply mathematical concepts to solve complex problems, often resulting in salaries for machine learning roles exceeding $120,000 annually, reflecting the critical demand for skilled professionals adept in optimization and algorithm implementation.

Mathematics

Linear Algebra

Calculus

Probability

Optimization

Python

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