How the Machine Learning Specialization can help you
Newly rebuilt and expanded into 3 courses, the updated Specialization teaches foundational AI concepts through an intuitive visual approach, before introducing the code needed to implement the algorithms and the underlying math.
I’m a complete beginner
- Doesn’t require prior math knowledge or a rigorous coding background
- Takes the core curriculum — vetted by millions of learners over the years — and makes it more approachable
- Each lesson begins with a visual representation of machine learning concepts, followed by the code, followed by optional videos explaining the underlying math
I enrolled in but didn’t complete the original Machine Learning course
- Balances intuition, code practice, and mathematical theory to create a simple and effective learning experience
- Includes new ungraded code notebooks with code samples and interactive graphs to help you complete graded assignments
I’ve already completed the original Machine Learning course
- Great way to refresh foundational ML concepts
- Assignments and lectures have been rebuilt to use Python rather than Octave
- The section on applying machine learning has been updated significantly based on emerging best practices from the last decade