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1

4 types of machine learning

Supervised (inductive) learning
Unsupervised learning
Semi-supervised learning
Reinforcement learning

2

Which type of machine learning?
Training data includes desired outputs (Y)
Function approximation

Supervised (inductive) learning

3

Which type of machine learning? Training data does not include desired outputs (Y)
Describe given dataset
-given examples of X, how can we describe it summarize this dataset?

Unsupervised learning

4

Which type of machine learning?
Training data includes a few desired outputs

Semi-supervised learning

5

Which type of machine learning?
Rewards from sequence of actions
Model optimal decision of agents based on actions, stated and rewards

Reinforcement learning

6

Examples of supervised (inductive) learning

Linear regression, logistic regression, decision trees and random forest, XG Boost, Support Vector Machine

7

Examples of unsupervised learning

Clusters
Dimensionality reduction

8

Goal of decision trees

Classify or predict an outcome based on a set of predictors; the output is a set of rules

Example:
Goal: classify a record as will accept or will not accept
Rule might be:
-if income is greater than 10 then class = 0

9

Example of discrete supervised learning

Classification or categorization

10

Example of discrete unsupervised learning

Clustering

11

Example of continuous supervised learning

Regression

12

Example of continuous unsupervised learning

Dimensionality reduction

13

What is the Gini index

A measure of the total variance across all the K classes (in the mth region)

-small value when pmk is close to 0 or 1
-aka node purity
-small value indicates that a mode mostly contains observations from a single class

14

A small déviance of a classification tree is a sign that

The tree provided good fit to the training data