Decision Tree
Identification Trees
, MACHINE LEARNING
• Humans can supply rules to logical reasoning programs
• Another way is to impart the ability of constructing rules to
the machines themselves. This is called Machine Learning
• The machine is given raw data and it is supposed to form
rules (i.e. a model or concept) about the process from which
the data is generated
• Two types: Symbolic data and numeric data
Symbolic machine learning
Numeric machine learning
, IDENTIFICATION TREES
Most widely used learning method
It is a method that induces concepts from examples
The learning is supervised: i.e. the classes or categories of the
data instances are known
It represents concepts as decision trees, a representation that
allows us to determine the classification of an object by
testing its values for certain properties
, IDENTIFICATION TREES
From Data to Identification Trees
Step 1: Collect data
Identification Trees
, MACHINE LEARNING
• Humans can supply rules to logical reasoning programs
• Another way is to impart the ability of constructing rules to
the machines themselves. This is called Machine Learning
• The machine is given raw data and it is supposed to form
rules (i.e. a model or concept) about the process from which
the data is generated
• Two types: Symbolic data and numeric data
Symbolic machine learning
Numeric machine learning
, IDENTIFICATION TREES
Most widely used learning method
It is a method that induces concepts from examples
The learning is supervised: i.e. the classes or categories of the
data instances are known
It represents concepts as decision trees, a representation that
allows us to determine the classification of an object by
testing its values for certain properties
, IDENTIFICATION TREES
From Data to Identification Trees
Step 1: Collect data
