Master the Essential Math for AI & ML: Complete Roadmap 📊

The essential math skills you need in artificial intelligence and machine learning, including linear algebra, calculus, probability, and statistics. In this video, I break down why math matters for AI/ML, then walk you through the core math concepts you need to know, giving you a clear roadmap for your own studies. I’ll also share the free online resources that helped me along the way.

RESOURCES MENTIONED
Essence of Linear Algebra playlist: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Essence of Calculus playlist: https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr
3Blue1Brown: @3blue1brown
Mathematics for Machine Learning Specialization: https://www.coursera.org/specializations/mathematics-machine-learning
Khan Academy (Statistics & Probability): https://www.khanacademy.org/math/statistics-probability
An Introduction to Statistical Learning (with R or Python): https://www.statlearning.com
Mathematics for Machine Learning eBook: https://mml-book.github.io

TIMESTAMPS
0:00 - Introduction
0:24 - Why Should You Even Learn Math for AI/ML?
1:05 - What Math Should You Actually Learn? (Roadmap)
4:35 - How to Learn It (Free Resources)

#ai #datascience #machinelearning