Conference Schedule

View past PyData event schedules here.

Tutorial Sessions — Friday April 7, 2017

	Big Room	Small Room
8:30	Registration
9:00	From Fourier to deep convnets Ivo Everts	Pandas from the Inside / "Big Pandas" Stephen Simmons
12:00	Lunch
13:00	Deep learning - advanced techniques Geoff French	So You Want to Be a Python Expert? James Powell
16:00	Hacking Space	Introduction to Machine Learning with H2O and Python Jo-fai Chow
18:30	PyData Amsterdam Meetup RSVP separately (Space is Limited!)
22:00

General Sessions — Saturday April 8, 2017

	Big Room	Small Room
8:00	Breakfast & Registration
9:00	Opening Notes
9:15	Ethical Machine Learning: Creating Fair Models in an Unjust World Katharine Jarmul
10:00	Knowledge Repository Matthew Wardrop, Dan Frank	Creativity and AI: Deep Neural Nets "Going Wild" Roelof Pieters
10:45	Break
11:00	Successfully applying Bayesian statistics to A/B testing in your business Ruben Mak	Detecting Clickbaits using Machine Learning Abhishek Thakur
11:45	Deep Reinforcement Learning: theory, intuition, code Maxim Lapan	Making contract documents fully searchable at KPN Gianluigi Bardelloni
12:30	Lunch
13:30	Diagnosing Machine Learning Models Lucas Javier Bernardi	A Pythonic Tour of Neo4j and the Cypher Query Language Nigel Small
14:15	Training a TensorFlow model to detect lung nodules on CT scans Mark-Jan Harte	A practical guide to speed up your application with Asyncio Niels Denissen
15:00	Break
15:15	Bayesian optimization with Scikit-Optimize Gilles Louppe	Different Strategies of Scaling H2O Machine Learning on Apache Spark Jakub Hava
16:00	Deep learning for time series made easy Dafne van Kuppevelt	Finding Needles in a Growing Haystack: An Architecture for Intelligent Reporting at Scale Stephen Helms
16:45	Smoothing your data with polynomial fitting: a signal processing perspective Cees Taal	Simulate your language. ish. John Paton
17:30	Dinner and Drinks
20:30

General Sessions — Sunday April 9, 2017


8:00	Breakfast & Registration
9:00	Opening Notes
9:15	Python vs Orangutan Dirk Gorissen
10:00	Neural Networks for Recommender Systems Maciej Kula	Pythonic Metal Iain Barr
10:45	Break
11:00	Data Science in the Internet of Things with Python and Spark Rafael Schultze-Kraft	Deep Learning at Booking.com Emrah Tasli, Stas Girkin
11:45	Siamese LSTM in Keras: Learning Character-Based Phrase Representations Carsten van Weelden, Beata Nyari	Risk Analysis Rogier van der Geer
12:30	Lunch
13:30	Debugging PySpark - Pretending to make sense of JVM stack traces Holden Karau	xtensor: the lazy tensor algebra library Sylvain Corlay, Johan Mabille
14:15	The joy of Lambda’s in machine learning: Running analytics at Scale without the burden of servers. Thijs de Vries	Survival analysis for conversion rates Tristan Boudreault
15:00	Break
15:15	Deploying Python models to production Niels Zeilemaker	Using deep learning in natural language processing: explaining Google's Neural Machine Translation Rob Romijnders, Ahmet Taspinar
16:00	Applied Data Science Giovanni Lanzani	A billion stars in the Jupyter Notebook Maarten Breddels
16:45	Lightning Talks & Closing Notes
17:30

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