{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"LM101-081: Ch3: How to Define Machine Learning (or at Least Try)","description":"This particular podcast covers the material in Chapter 3 of my new book \u201cStatistical Machine Learning: A unified framework\u201d 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  \u201cThe Practioner\u2019s Guide to Graph Data\u201d&amp;nbsp; by Denise Gosnell and Matthias Broecheler. To find out more information visit the website: www.learningmachines101.com . ","author_name":"Learning Machines 101","author_url":"http:\/\/www.learningmachines101.com","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/13919324\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/content\/69465368"}