Introduction to Machine Learning.  Episode 6,  Bayesian Models for Probability Prediction. 

 - 1 online resource (streaming video file) (29 minutes):  digital, .flv file, sound 
<br/><br/> Title from title frames.  Film  In Process Record. 
<br/><br/>Michael Littman 
<br/><br/> Originally produced by The Great Courses in 2020. 
<br/><br/> A program need not understand the content of an email to know with high probability that it's spam. Discover how machine learning does so with the Naive Bayes approach, which is a simplified application of Bayes' theorem to a simplified model of language generation. The technique illustrates a very useful strategy: going backward from effects (in this case, words) to their causes (spam). 
<br/><br/><br/>Mode of access: World Wide Web. 
<br/><br/><br/>In English 
<br/><br/><label>Publisher. No.: </label>13413139  Kanopy 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Technology.<br/>Computer science.<br/>Technical education.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Education films.