Program

We have amazing talks in this PyData! This is the tentative program, it may change with time, hopefully to accommodate more speakers!

Saturday 29th

08:15AM
Registration
09:00AM
Self-Driving Cars & AI: Transforming our Cities and our Lives
Nemanja Djuric
Auditorium
Key Note
10:00AM
Coffee Break
10:30AM
Introducción a los Sistemas Recomendadores en Python
María Emilia Charnelli
Auditorium
High Performance Computing can be versatile: wrapping C and FORTRAN code into Python
Pablo Alcain
Lab D3
Tutorial
11:15AM
Fantastic Recommendations and Where to Find Them
Julian Bayardo
Auditorium
12:00AM
Lunch break
1:30PM
Recommender Systems: A view from the Trenches
Lucas Bernardi
Auditorium
Key Note
02:45PM
Online payment fraud detection while you are hungry
Fabiano Fernandes
Auditorium
Introducción a la Optimización para Invertir en la Bolsa
Luis Biedma
Lab D3
Tutorial
03:30PM
Mejorando la exactitud de los prónósticos de lluvias
Matias Lee
Auditorium
04:15PM
Coffee Break
04:45PM
Machine Learning For Search
Cristian Martinez and Manish Saraswat
Auditorium
La Teoría de grafos, una rama de las matemáticas y la computación que contiene miles de aplicaciones
Angie Reyes
Lab D3

Sunday 30th

09:00AM
IQA: presente y futuro
Pedro Agustín Carossi y Matias Zabaljauregui
Auditorium
Análisis clasificatorio de imágenes de restaurantes
Matías Caputti
Lab D3
Tutorial
09:45AM
Leading in Data Science projects, tools and tricks
Rafael Carrascosa
Auditorium
10:30AM
Coffee Break
11:00AM
Building an Empire: How To Use Data and Game Theory to Make Strategic Decisions
Eva Bojorges
Auditorium
Key Note
12:00AM
Lunch break
01:30PM
The Road to Intelligence with Data Science
Favio Vázquez
Auditorium
Key Note
02:45PM
Ecommerce Visual Search
Bugra Akyildiz
Auditorium
Strategies for working with dataframes when your data grows
Marco Carranza, Roberto Panai
Lab D3
03:30PM
An Intuitive Introduction to Deep Reinforcement Learning
Cristian García
Auditorium
Procesando datos con Pandas y Dask
Ariel Rossanigo
Lab D3
04:15PM
Coffee Break
04:45PM
Unsupervised Representation Learning with DCGANs and its Applications
Fabrizio J. Piva
Auditorium
Bayesian modeling with PyMC3 and ArviZ
Osvaldo Martin
Lab D3
05:30PM
Life After Word Embeddings: Language modeling for transfer learning in NLP
Julian Eisenschlos
Auditorium
Introduction to Spark-NLP
Alberto Andreotti
Lab D3
06:15PM
Applied Machine Learning from Heterogeneous Data Sources
Santiago Hernandez
Auditorium
Efficient streaming data aggregation
Claudio Freire
Lab D3

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