Conference Schedule

View past PyData event schedules here.

Tutorial Sessions — Friday May 5, 2017

	Auditorium	LG6	LG7	Dining Room
10:00	Registration
10:25	Make your research interactive with Jupyter Dashboards Pavlo Andriychenko	Room in use	Topic Modelling (and more) with NLP framework Gensim Lev Konstantinovskiy	From zero to Kung Fu Panda(s) Jonathan Fernandes
12:00	Break and snacks
12:15	Introduction to Convolutional Neural Networks using TensorFlow and Keras Oliver Zeigermann	Room in use	Building a ChatBot with Python, NLTK and scikit Edward Bullen	Jupyter Notebooks for geospatial data analysis Julia Wagemann, Stephan Siemen
13:50	Lunch (Atrium)
14:35	Twisted up in a Distributed Tornado - a beginners guide to async frameworks in python Andrew Stretton		One workshop that data scientists don't want you to attend... Oliver Laslett, Andraz Hribernik	Test-Driven Data Analysis Nick Radcliffe
16:10	Break and snacks
16:25	Easy Bayesian regularization for fitting financial time series and curves Dr. Egor Kraev	Ten Steps to Keras Valerio Maggio	Seeing the invisible - Bayesian Mixture Models Elena Nemtseva	Building Web-based Analysis & Simulation Platforms with React/Redux, Flask, Celery, Bokeh, and Numpy James Powell
18:00

General Sessions — Saturday May 6, 2017

	Auditorium	LG6	LG7	Dining Room
8:00	Registration and breakfast
9:00	KEYNOTE: Automated factchecking in the era of fake news Will Moy, Mevan Babakar
10:00	Bayesian optimisation with scikit-learn Thomas Huijskens	Static Type Analysis for Robust Data Products Marco Bonzanini	Machine Learning in Financial Credit Risk Assessment Soledad Galli	Scale out from the very beginning Jens Nie
10:45	Breaks and snacks
11:00	Variational Inference and Python Peadar Coyle	High-Performance Distributed Tensorflow: Request Batching and Model Post-Processing Optimizations Chris Fregly	Using Random Forests in Python Nathan Epstein	A beginner's guide to data analysis in cosmology using Jupyter Notebook Dr Caroline Clark
11:45	Pythonic Polling Analysis and Comments on 2016's Polling Surprises Aileen Nielsen	❤ Analyzing the ElectroCardioGram (ECG) and classifying what's healthy and what's not. Dr. Emlyn Clay	Yellowbrick: Steering Machine Learning with Visual Transformers Rebecca Bilbro	Making your first open-source contribution Demo and hands on session!
12:30	Lunch
13:30	KEYNOTE: Picasso's terminal; data science and AI in the visual arts Gene Kogan
14:30	Diversity and Data: Cases in the Music Industry Delger Enkhbayar, Mike Sumner	How distributed representations make chatbots work (at least a bit) Nils Hammerla	Machine learning with ventilator data to improve reporting on critically ill newborn infants Ian Ozsvald, Dr Gusztav Belteki, Giles Weaver	Full Fact Hackathon
15:15	Breaks and snacks
16:15	Julia: A Fresh Approach to Machine Learning Mike Innes	A laser light show on a quantum scale Tiffany Harte	Journeys through JuPyteR Alex Glaser	Full Fact Hackathon
17:00	SaaaS - Sampling as an Algorithm Service Vincent D. Warmerdam	Show me the failures! Data products for manufacturing at shop floor Thomas Alisi	To explain or to predict? Nick Sorros	Full Fact Hackathon
17:45	⚡ Lightning talks ⚡
18:30	After-party at Finch's
23:59

General Sessions — Sunday May 7, 2017

	Auditorium	LG6	LG7	Dining Room
8:00	Registration and breakfast
9:00	KEYNOTE: Data for good: Lessons from the frontline Emma Deraze, Charlie Harrison
10:00	Recommender systems with Tensorflow Guillaume Allain	Efficient and portable DataFrame storage with Apache Parquet Uwe L. Korn	Is having dementia linked to where you live? Frank Kelly, Ondrej Urban	Extracting Insight From A Muslim Marriage App Laila Alabidi
10:45	Break and snacks
11:00	Bayesian Deep Learning with Edward (and a trick using Dropout) Andrew Rowan	Segmenting Channel 4 Viewers using LDA Topic Modelling Thomas Nuttall	"Lights, camera, AI!" - Automated sports videography Zack Akil	Astrophysics to data Science: how the Milky Way is like my company. Kathryn Harris
11:45	Ranking hotel images using deep learning Nuno Castro	Find the text similiarity you need with next generation of word embeddings in Gensim Lev Konstantinovskiy	Outlier detection methods for detecting cheaters in mobile gaming Andrew Patterson	Unconference
12:30	Lunch
13:30	WTF am I doing? An introduction to NLP and ANN's Jeff Abrahamson	Analyzing 3D objects with power of Deep Learning and Cython Alexandr Notchenko	Building robust machine learning systems Stephen Whitworth	Gensim sprint Lev Konstantinovskiy
14:15	Smart search using Support vector machines Dr. Shahzia Holtom	Leveraging recommender systems to personalise search results Soraya Hausl	Smelly London: visualising historical smells through text-mining, geo-referencing and mapping. Deborah Leem, Barbara McGillivray	Gensim sprint Lev Konstantinovskiy
15:00	An Algorithm of Style Ed Snelson	Interactively Analyse 100GB of Data using Spark, Amazon EMR and Zeppelin Raoul-Gabriel Urma, Valentin Dalibard	Finding the Right Articles - A Supervised Approach to Search Yasen Kiprov, Pepa Gencheva	Gensim sprint Lev Konstantinovskiy
15:45	Break and snacks
16:00	Forecasting social inequality using agent-based modelling James Allen	Computational challenges of genome assembly, and how to beat them. Katie Barr	Dimension Reduction and Extracting Topics - A Gentle Introduction Tariq Rashid	Probabilistic Models Vincent Warmerdam
16:45	⚡ Lightning talks ⚡
17:45

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