Garbage In, Garbage Out: machine learning has not repealed the iron law of computer science

Share with:

FacebookTwitterGooglePinterest


Garbage In, Garbage Out: machine learning has not repealed the iron law of computer science

Pete Warden writes convincingly about computer scientists’ focus on improving machine learning algorithms, to the exclusion of improving the training data that the algorithms interpret, and how that focus has slowed the progress of machine learning. The problem is as old as data-processing itself: garbage in, garbage out.

Share with:

FacebookTwitterGooglePinterest


Leave a Reply