Podknife - LM101-081: Ch3: How to Define Machine Learning (or at Least Try) by Learning Machines 101

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LM101-081: Ch3: How to Define Machine Learning (or at Least Try)

Podcast |: Learning Machines 101
Publisher |: Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Machine Learning,; Technology
Categories Via RSS |: Mathematics,; Science,; Technology
Publication Date |: Apr 09, 2020
Episode Duration |: 00:37:20

This particular podcast covers the material in Chapter 3 of my new book “Statistical Machine Learning: A unified framework” with expected publication date May 2020. In this episode we discuss Chapter 3 of my new book which discusses how to formally define machine learning algorithms. Briefly, a learning machine is viewed as a dynamical system that is minimizing an objective function. In addition, the knowledge structure of the learning machine is interpreted as a preference relation graph which is implicitly specified by the objective function. In addition, this week we include in our book review section a new book titled “The Practioner’s Guide to Graph Data” by Denise Gosnell and Matthias Broecheler. To find out more information visit the website: www.learningmachines101.com .

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