View past PyData event schedules here.

General Sessions — Thursday Nov. 16, 2017

8:00 a.m.	Registration and opening notes
9:00 a.m.	Advances in Probabilistic Programming using PyMC3 Christopher Fonnesbeck
9:45 a.m.	Data science with docker: simple, reproducible and shareable. Gabriel Miretti
10:05 a.m.	Presentación de Orange Ezequiel Medina
10:30 a.m.	Coffee break
10:45 a.m.	El ecosistema de Jupyter y su interrelación con el ecosistema de Anaconda Damián Avila
11:30 a.m.	Automatic Vandalism Detection in Massive Knowledge Bases Rafael Crescenzi
12:15 p.m.	Dime a quiénes sigues y te diré qué prefieres Pablo G Celayes
1:00 p.m.	Lunch
6:00 p.m.	Posters
7:30 p.m.	Welcome Party!
11:00 p.m.

General Sessions — Friday Nov. 17, 2017

9:00 a.m.	Escaping the Black Box with Yellowbrick: A Visual API for Machine Learning Rebecca Bilbro
9:45 a.m.	Binding site prediction from topological models of proteins Leandro Lombardi
10:30 a.m.	Coffee break
10:45 a.m.	GUNDAM : Lightspeed Correlation Functions For Large Galaxy Surveys Emilio Donoso
11:30 a.m.	A set of functions to analyze sound time series develop in python Cecilia Gisele Jarne
12:15 p.m.	Addressing Space Weather Monitoring data handling problem María Graciela Molina
12:35 p.m.	Reconocimiento de patrones en imágenes satelitales aplicando técnicas de deep learning. Elbio Zapata
1:00 p.m.	Lunch
4:00 p.m.
5:30 p.m.	Coffee break
6:00 p.m.	Deep learning para el procesado de imágenes. Ariel Rossanigo
7:00 p.m.

General Sessions — Saturday Nov. 18, 2017

8:30 a.m.	Registration and opening notes
9:00 a.m.	Pinky and the Brain with PyStan. Jorge Couchet, Adrian Tissera, Matias Marenchino
9:45 a.m.	Ruta de aprendizaje a partir de experiencias de plataformas de visualización de datos (UNCUYO) Lucrecia D'Agostino, Gonzalo Siman, María Micaela Amorós
10:05 a.m.	Segmentación Automática para el Censo 2020 Manuel Retamozo, Hernán Alperin
10:30 a.m.	Coffee break
10:45 a.m.	Introduction to Gradient Boosting Machines - XGBoost Ariel Wolfmann
11:30 a.m.	Python y Data Science en ecommerce: Un caso de éxito Carlos Barroso
12:15 p.m.	Visualizando la política Andy Tow
1:00 p.m.	Lunch
4:00 p.m.	Aprendizaje de representaciones latentes en redes de interacciones de proteínas Agustina Dinamarca
4:20 p.m.	Novel bioinformatic pipeline for de novo transcriptomics analysis using Python Maximiliano Estravis
4:40 p.m.	Python en la Antropología Biológica Navarro, Pablo, Bruno Pazos
5:30 p.m.	Coffee break
6:00 p.m.	Machine Learning para la detección óptica de adulterantes en pimentones almonacid Jonathan Samuel
7:00 p.m.

Tutorial Sessions — Thursday Nov. 16, 2017

2:00 p.m.	Introducción a Pandas Ariel Rossanigo
3:30 p.m.	Coffee break
4:00 p.m.	An Introduction to Gaussian Processes in PyMC3 Christopher Fonnesbeck
5:30 p.m.	Coffee break
6:00 p.m.

Tutorial Sessions — Friday Nov. 17, 2017

8:30 a.m.	Registration and opening notes
2:00 p.m.	Train and visualize a model in Tensorflow Milagro Teruel, Cristian Cardellino
3:30 p.m.	Coffee break
4:00 p.m.	Having Fun with Recurrent Neural Networks Sergio Gastón Burdisso
5:30 p.m.

Tutorial Sessions — Saturday Nov. 18, 2017

2:00 p.m.	Deep Learning With Keras Rodolfo Bonnin
3:30 p.m.	Coffee break
4:00 p.m.