LM101-082: Ch4: How to Analyze and Design Linear Machines

The main focus of this particular episode covers the material in Chapter 4 of my new forthcoming book titled "Statistical Machine Learning: A unified framework." Chapter 4 is titled "Linear Algebra for Machine Learning. Many important and widely used machine learning algorithms may be interpreted as linear machines and this chapter shows how to use linear algebra to analyze and design such machines. In addition, these same techniques are fundamentally important for the development of techniques for the analysis and design of nonlinear machines. This podcast provides a brief overview of Linear Algebra for Machine Learning for the general public as well as information for students and instructors regarding the contents of Chapter 4 of Statistical Machine Learning. For more details, check out:

You can listen to LM101-082: Ch4: How to Analyze and Design Linear Machines online on Radio and Podcast. Open the player on this page to stream the available audio.

LM101-082: Ch4: How to Analyze and Design Linear Machines is an episode from Learning Machines 101 by Richard M. Golden.

This episode is 29:05 long.

This episode was published on Jul 23, 2020.

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