Скачать или смотреть Matrix Inversion — Topic 22 of Machine Learning Foundations

This video introduces matrix inversion, a wildly useful transformation for machine learning. I’ll introduce the concept, and then we’ll use a series of colorful equations and hands-on code demos to solve for values in a simple regression-style problem.

There are eight subjects covered comprehensively in the ML Foundations series and this video is from the first subject, "Intro to Linear Algebra". More detail about the series and all of the associated open-source code is available at github.com/jonkrohn/ML-foundations

The next video in the series is:    • Diagonal Matrices — Topic 23 of Machine Le...  

The playlist for the entire series is here:    • Linear Algebra for Machine Learning  

This course is a distillation of my decade-long experience working as a machine learning and deep learning scientist, including lecturing at New York University and Columbia University, and offering my deep learning curriculum at the New York City Data Science Academy. Information about my other courses and content is at jonkrohn.com

Dr. Jon Krohn is Chief Data Scientist at untapt, and the #1 Bestselling author of Deep Learning Illustrated, an interactive introduction to artificial neural networks. To keep up with the latest from Jon, sign up for his newsletter at jonkrohn.com, follow him on Twitter @JonKrohnLearns, and on LinkedIn at linkedin.com/in/jonkrohn