<description>&lt;p&gt;In this episode of Learning Machines 101, we review Chapter 6 of my book “Statistical Machine Learning” which introduces methods for analyzing the behavior of machine inference algorithms and machine learning algorithms as dynamical systems. We show that when dynamical systems can be viewed as special types of optimization algorithms, the behavior of those systems even when they are highly nonlinear and high-dimensional can be analyzed. Learn more by visiting: &lt;a href= "http://www.learningmachines101.com"&gt;www.learningmachines101.com&lt;/a&gt; and &lt;a href= "http://www.statisticalmachinelearning.com"&gt;www.statisticalmachinelearning.com&lt;/a&gt; .&lt;/p&gt;</description>

Learning Machines 101

Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems

JAN 5, 202133 MIN
Learning Machines 101

LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems

JAN 5, 202133 MIN

Description

In this episode of Learning Machines 101, we review Chapter 6 of my book “Statistical Machine Learning” which introduces methods for analyzing the behavior of machine inference algorithms and machine learning algorithms as dynamical systems. We show that when dynamical systems can be viewed as special types of optimization algorithms, the behavior of those systems even when they are highly nonlinear and high-dimensional can be analyzed. Learn more by visiting: www.learningmachines101.com and www.statisticalmachinelearning.com .