Conference Schedule

View past PyData event schedules here.

Tutorial Sessions — Tuesday Dec. 3, 2019

  Tutorial Track 1 Tutorial Track 2 Tutorial Track 3
8:00 AM

Breakfast & Registration

9:00 AM Computer Vision with PyTorch Daniel J. Brooks Introduction to H2O AutoML with Python Franklin Velasquez Introduction to Data Analysis with Python datatable Ana Castro Salazar, Pasha Stetsenko
10:30 AM

Break

11:00 AM Kedro + MLflow – Reproducible and versioned data pipelines at scale Tom Goldenberg Web Scraping w BeautifulSoup & Yelp's API Juan S Vasquez Git-ting along with others Paul Anzel
12:30 PM

Lunch

1:30 PM Reinforcement Learning: Pac-Man Manu Gopinathan, Malte Loller-Andersen Experimental Machine Learning with HoloViz and PyTorch in Jupyterlab Hayley Song

Code Sprints

3:00 PM

Coffee Break

3:30 PM Analyzing genetic networks using neural networks Manu Flores Turn Python Scripts into Beautiful ML Tools Adrien Treuille

Code Sprints

5:00 PM

General Sessions — Wednesday Dec. 4, 2019

  Plenary Room Track 2 Room Track 3 Room
8:00 AM

Breakfast & Registration

9:00 AM

Opening Notes

9:15 AM

Keynote
Milana Lewis

10:00 AM

Break

10:15 AM Building a Data Driven Organization Franklin Sarkett Ahead in the Clouds: How to get started with serverless on Google, Amazon & Microsoft Michelle Brenner Bokeh Maps: Making an interactive map for your next web application Kevin Chrzanowski
11:00 AM

Break

11:15 AM Making data relevant to business. Its harder than you think! Ravin Kumar A "Supremely" Light introduction to Quantum Computing Rodolfo Bonnin Gradient Boosting for data with both numerical and text features Anna Veronika Dorogush
12:00 PM

Lunch

1:00 PM Write the Docs! Hareem Naveed Introducing Autoimpute: a Python Package for Grappling with Missing Data Joseph Kearney, Shahid Barkat Learning Topology: Topological Techniques for Unsupervised Learning Leland McInnes
1:45 PM

Break

2:00 PM A/B Testing in Python Raul Maldonado Data and ETL with Notebooks in Papermill Matthew Seal A Guide to Modern Hyperparameter Tuning Algorithms Richard Liaw
2:45 PM

Coffee & Sponsor Break

3:15 PM What's Data Science Reporting? Amy Tzu-Yu Chen To Production and Beyond: How to Manage the Machine Learning Lifecycle with MLflow Amanda Moran Evaluation of Traditional and Novel Feature Selection Approaches Ben Fowler
4:00 PM

Break

4:15 PM

Lightning Talks (Sign-ups)

5:00 PM

Keynote
Kyle Polich

6:00 PM

Social Event

8:00 PM

General Sessions — Thursday Dec. 5, 2019

  Plenary Room Track 2 Room Track 3 Room
8:00 AM

Breakfast & Registration / Speed Mentoring

9:00 AM

Opening Notes

9:05 AM

Keynote
Carol Willing

9:50 AM

Break

10:00 AM Tackling Homelessness with Open Data Eric Busboom Building Named Entity Recognition Models Efficiently using NERDS Sujit Pal
10:45 AM

Break

10:50 AM Dynamic programming for machine learning: Hidden Markov Models Avik Das Preparing messy data for supervised learning with vtreat John Mount, Nina Zumel Build an AI-powered Pet Detector in Visual Studio Code Jeffrey Mew
11:35 AM

Break

11:40 AM RAPIDS: Open Source GPU Data Science Brad Rees Accelerate your NumPy Data Science Workloads and Deep Learning Applications Hao Jin What You Got Is What You Got James Powell
12:25 PM

Lunch

1:30 PM Machine Learning Model Evaluation Metrics Maria Khalusova Fitting Many Dimensions into One: The Promise of Hierarchical Indices for Data Beyond Two Dimensions Christopher Ariza MAP all the things John Healy
2:15 PM

Break

2:20 PM Simplicity For Scale: Analyzing 15 Million DNA Samples With Python Tim Orme Datasets and machine learning models versioning using open source tools Dmitry Petrov AI meets Fashion for product retrieval with multi-modally generated data Ivona Tautkute
3:05 PM

Coffee & Sponsor Break

3:20 PM IBM Code and Response: Open Sourcing Natural Disaster Preparedness and Relief Nick Acosta Open Source is Better Together: GPU Python Libraries Unite Dante Gama Dessavre Modeling Search Term Revenue: Using Embedding Layers to Manage High Cardinality Categorical Data Fletcher Riehl
4:05 PM

Break

4:15 PM

Keynote
Sameer Singh

5:00 PM

Closing Notes

5:45 PM

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