Conference Schedule

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.

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