Machine learning: Difference between revisions

Revision as of 21:51, 12 January 2019

Revision as of 08:45, 13 January 2019

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Some statisticians have adopted methods from machine learning, leading to a combined field that they call ''statistical learning''.<ref name="islr">{{cite book |author1=Gareth James |author2=Daniela Witten |author3=Trevor Hastie |author4=Robert Tibshirani |title=An Introduction to Statistical Learning |publisher=Springer |year=2013 |url=http://www-bcf.usc.edu/~gareth/ISL/ |page=vii}}</ref>

=== Relation to marketing ===

Machine learning is used to teach machines how to learn, which is a subset of AI. It is more of a process of asking, collecting data, creating an algorithm, trying it, fixing it, and correcting, while AI is a broader term that includes all kinds of science of creating machines to achieve tasks, as stated in the lecture. There are ways that marketers use machine learning in tracking how leads act on the internet and the best, most effective ways to market to them. Cookies are placed on the users computers which track users habits and likes, which then is used by artificial intelligence through machine learning to make predictions about what is best to market to the user based on previous searches, clicks and likes.

== {{anchor|Generalization}} Theory ==