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Learning Machines 101

Learning Machines 101

Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.
Estreno: 2021-07-21
© Copyright (c) 2014-2021 by Richard M. Golden. All rights reserved.
Learning Machines 101 - QR Code
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85 episodios
Audio
Escúchalo en Apple Podcasts
Gratis0%
85 episodios
Audio
Escúchalo en Apple Podcasts
Estreno: 2021-07-21
© Copyright (c) 2014-2021 by Richard M. Golden. All rights reserved.
El episodio más reciente
LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes

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

This 86th episode of Learning Machines 101 discusses the problem of assigning probabilities to a possibly infinite set of observed outcomes in a space-time continuum which corresponds to our physical world. The machine learning algorithm uses informatio
Tiempo: 35:29
Reproducir
This 86th episode of Learning Machines 101 discusses the problem of assigning probabilities to a possibly infinite set of outcomes in a space-time continuum which characterizes our physical world. Such a set is called an “environmental event”. The machine learning algorithm uses information about the frequency of environmental events to support learning. If we want to study statistical machine learning, then we must be able to discuss how to represent and compute the probability of an environmental event. It is essential that we have methods for communicating probability concepts to other researchers, methods for calculating probabilities, and methods for calculating the expectation of specific environmental events. This episode discusses the challenges of assigning probabilities to events when we allow for the case of events comprised of an infinite number of outcomes. Along the way we introduce essential concepts for representing and computing probabilities using measure theory mathematical tools such as sigma fields, and the Radon-Nikodym probability density function. Near the end we also briefly discuss the intriguing Banach-Tarski paradox and how it motivates the development of some of these special mathematical tools. Check out: www.learningmachines101.com and www.statisticalmachinelearning.com for more information!!!
ID de episodio: 1000529528987
GUID: 66fceeed-0cd9-46a3-99aa-99a3d414fe11
Fecha de lanzamiento: 21/7/2021 1:23:53

Descripción

Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that will be addressed in this podcast series!

URL del canal

https://learningmachines101.libsyn.com/rss

Apple Podcasts: Reseñas de clientes

2016-03-22

Best audio podcast on IA and machine learning

Mr. Richard Golden is an excellent communicator, he can explain the very intriguing ML tools in an affordable manner for everyone. And also, this podcast is about IA and its philosophical and ethical questions. I'm enjoying it very much!
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