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LFCS PhD Lunch

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Pizza Lunch and informal tutorial for all LFCS PhD students

What
  • Upcoming events
When May 22, 2014
from 01:00 PM to 03:00 PM
Where If3.02
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PhD Lunch in May will be a week earlier than usual on the 22nd of May, but at the usual time 1-3pm.

FREE PIZZA and other snacks will be provided. The tutorial will be given by Andi Gordon on 

 
Probabilistic Programming
=======================================

 Probabilistic programming is a declarative form of machine
learning: the user writes a probabilistic model of their data as a 
short piece of code, while the compiler turns the code into an 
efficient inference routine to learn and predict properties of the 
data. A remarkably wide range of machine learning tasks - regression, 
classification, ranking, recommendation, and so on - can all be expressed
as probabilistic programs.
The hope of the field is that practical programmers without PhDs in 
machine learning can get to grips with probabilistic models by writing 
and running pieces of probabilistic code. The purpose of this tutorial 
is to introduce the area from first principles, and show how to 
develop a series of models of data from scratch. Running examples are 
all based on the Tabular system from Microsoft Research. No previous 
experience with machine learning or probabilistic models is assumed. 
Come to this tutorial to understand how many machine learning problems 
can be coded as probabilistic functional programs.
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