ETHEM ALPAYDIN © The MIT Press, 2010 [email protected] ethem/i2ml2e Lecture Slides for.
CMSC 471 Spring 2014 Class #14 Tuesday, March 25, 2014 Machine Learning I: Decision Trees Professor Marie desJardins, [email protected].
MLlecture1.ppt
1 CMSC 671 Fall 2005 Class #20 –Tuesday, November 8.
A Brief Survey of Machine Learning Used materials from: William H. Hsu Linda Jackson Lex Lane Tom Mitchell Machine Learning, Mc Graw Hill 1997 Allan Moser.
1 What is learning? “Learning denotes changes in a system that... enable a system to do the same task more efficiently the next time.” –Herbert Simon “Learning.
1 CS 512 Machine Learning Berrin Yanikoglu Slides are expanded from the Machine Learning-Mitchell book slides Some of the extra slides thanks to T. Jaakkola,
Today’s Topics Chapter 2 in One Slide Chapter 18: Machine Learning (ML) Creating an ML Dataset –“Fixed-length feature vectors” –Relational/graph-based.
1 CSC 8520 Spring 2013. Paula Matuszek CS 8520: Artificial Intelligence Machine Learning 1 Paula Matuszek Spring, 2013.
CMSC 471 Fall 2011 Class #20 Tuesday, November 8, 2011 Machine Learning I Professor Marie desJardins, [email protected].
1 Machine Learning Chapter 18.1-18.3, 19.1, skim 20.4-20.5 CMSC 471 Adapted from slides by Tim Finin and Marie desJardins. Some material adopted from notes.
Machine Learning: An Overview
