
LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems
About this episode
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 .
Get every episode summarized
Each time Learning Machines 101 publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Learning Machines 101

LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes
Learning Machines 101

LM101-085:Ch7:How to Guarantee your Batch Learning Algorithm Converges
Learning Machines 101

LM101-083: Ch5: How to Use Calculus to Design Learning Machines
Learning Machines 101

LM101-082: Ch4: How to Analyze and Design Linear Machines
Learning Machines 101