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MLMU.cz - Evelina Gabašová – Clustering cancer data with Bayesian nonparametrics and F# (4.3.2015)

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Published on Mar 12, 2015

11th Machine Learning Meetup - March 4th 2015 at Paralelní Polis
11. Machine Learning Meetup - 4.3.2015 v Paralelní Polis

Talk / Přednáška: Clustering cancer data with Bayesian nonparametrics and F# (4.3.2015)
Speaker / Prezentující: Evelina Gabašová
Location / Místo: Paralelní Polis, Praha

Slides: https://goo.gl/vHbSHc

In my research I’m using probabilistic machine learning methods to integrate different types of genomic data to distinguish cancer subtypes. In this talk, I’ll give a brief introduction to Bayesian nonparametric models for clustering data: Dirichlet processes; and I’ll show how I’m using them to cluster heterogeneous genomic data. During the talk we’ll also get to some live coding: I’ll show what modern data science tools are available in the F# programming language and how they simplify exploratory data analysis.

http://www.mlmu.cz
https://twitter.com/mlmucz
https://www.facebook.com/machinelearn...

Děkujeme Paralelní Polis za poskytnutí prostor (www.paralelnipolis.cz)
Dále děkujeme za podporu organizaci Upsilon Pi Epsilon (z ČVUT v Praze).

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