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Machine Learning
Dell Zhang
Birkbeck, University of London
Netflix Prize

$1,000,000
 to
the first person to improve the accuracy of
its recommendation system by 10 percent.

$50,000
 to
the current leader each year for as long as
the contest runs.
Concepts

Learning =
 improving
performance
 at some task
 through experience
Human / Machine
Prof. Tom Mitchell
Concepts


Machine Learning (ML) is a subfield of
artificial intelligence concerned with
algorithms that allow computers to learn.
What this means, in most cases, is that
algorithm is given a set of data and infers
information about the properties of data – and
that information allows it to make predictions
about other data that might see in the future.
Concepts


This is possible because almost all non-random
data contains patterns, and these patterns allow
the machine to generalize.
In order to generalize, it trains a model with
what it determines are the important aspects of
the data. Many machine learning algorithms rely
heavily on mathematics (in particular
statistics).
Concepts

The Bean Machine
 Wikipedia

http://en.wikipedia.org/wiki/Bean_machine
 Demonstration:

http://www.youtube.com/watch?v=AUSKTk9ENzg
 Simulation:

http://www.ms.uky.edu/~mai/java/stat/GaltonMachine.html
Concepts

Closely Related Areas
 Data
Mining or KDD
 Pattern Recognition
References