The Math Needed 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