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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