Martın de los Rios
Universidad Nacional de Cordoba
:In this talk we will present CosmoML, a machine learning algorithm
that estimate the cosmological parameters using the cosmic microwave
This algorithm was trained using 5000 simulated power spectra of different cosmological models.It has the advantage of been faster than traditional Monte Carlo methods without loosing precision.
As a first application we also present a measurement of the angular distribution of the cosmological parameters performed with the latest CMB data from Planck.