Master Diagonal Matrices: Key Concepts for Machine Learning πŸš€

Explore the fundamentals of diagonal matrices in machine learning with this comprehensive guide. Perfect for understanding their role and applications in various algorithms.

Master Diagonal Matrices: Key Concepts for Machine Learning πŸš€
Jon Krohn
9.5K views β€’ Oct 13, 2020
Master Diagonal Matrices: Key Concepts for Machine Learning πŸš€

About this video

This video introduces diagonal matrices, a special matrix class that is important in machine learning.

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: https://youtu.be/iqq832T8SrA

The playlist for the entire series is here: youtube.com/playlist?list=PLRDl2inPrWQW1QSWhBU0ki-jq_uElkh2a

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

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9.5K

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Duration

3:26

Published

Oct 13, 2020

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