The Math Needed for AI/ML (Complete Roadmap) скачать в хорошем качестве

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:    • Essence of linear algebra   Essence of Calculus playlist:    • Essence of calculus   3Blue1Brown: ‪@3blue1brown‬ Mathematics for Machine Learning Specialization: https://www.coursera.org/specializati... Khan Academy (Statistics & Probability): https://www.khanacademy.org/math/stat... 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