Linear Algebra II: Matrix Operations — Subject 2 of Machine Learning Foundations
Welcome to Subject 2 of Machine Learning Foundations! In this introductory video, I provide an overview of the topics covered in this subject, as well as a quick recap of the essential linear algebra topics we've covered so far -- topics you need to know to make the most of Subject 2.
There are eight subjects covered comprehensively in the ML Foundations series and this is the first video from the second subject, "Linear Algebra II: Matrix Operations". 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 • Applying Matrices — Topic 26 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