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Machine Learning The Future of Computing?
Chris Bishop
Microsoft Research Cambridge
Information Technology Exponential growth!
Data-driven
Manufacturing Retail
Government Defence
Education
Healthcare
What can you do with data?
Visualization
Calculate simple statistics
Make predictions (traditional machine learning)
Build models (probabilistic inference)
infra-red camera
infra-red emitter
(w1, w2, … wN)
Future applications?
gaming
telepresence
sports dance
physiotherapy
surveillance
user interfaces
Movie Recommender
I(1 > 2)
Gaussian
s1
Gaussian
s2
Gaussian
1
Gaussian
2
y12
y12
1 2
s1 s2
y12
1 2
s1 s2
y12
1 2
s1 s2
y12
1 2
s1 s2
Convergence
0
5
10
15
20
25
30
35
40 Le
vel
0 100 200 300 400
Number of Games
char (Elo)
SQLWildman (Elo)
char (TrueSkill™)
SQLWildman (TrueSkill™)
TrueSkillTM
Probabilistic Programming
http://research.microsoft.com/infernet
John Winn, Tom Minka, John Guiver, et al.
Infer.NET compiler
C# compiler C# Algo-
rithm
Inference Engine
Probabilistic program (model)
Observed values
Algorithm execution
Probability distributions
---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ----------------
How Infer.NET works
Healthcare
Education
“Big data”
?
len
gth
temperature
Derived Information
David Stillwell, Michal Kosinski (Cambridge Psychometrics Centre), Thore Graepel (MSR Cambridge) PNAS
www.myPersonality.org
