View past PyData event schedules here.

General Sessions — Wednesday Jan. 9, 2019

	Main Room	Tutorial Room
8:30 AM	Registration
9:00 AM	Opening Remarks
9:15 AM	Deep learning vs conventional machine learning (algorithm comparisons and case studies) Chao Han
10:00 AM	Break
10:15 AM	Model Evaluation For Humans Dante Gates	GPU Data Science with RAPIDS Joshua Patterson, Keith Kraus
10:50 AM	NASA influence on open data projects Anita Kirkovska
11:25 AM	Productionizing H2O Models with Apache Spark Jakub Hava
12:00 PM	Lunch
1:15 PM	How We Lie to Ourselves With Charts Alberto Cairo
2:00 PM	Break
2:15 PM	Accelerating Single-cell Bioinformatics with N-dimensional Arrays in the Cloud Ryan Williams	Applying rigorous machine learning methods in business strategy Mash Zahid
2:50 PM	Qumodes and Quantum Generalized Linear Models Colleen M. Farrelly, Ike Uchenna Chukwu
3:25 PM	Introduction to Data Analysis Methods in Particle Physics Will Hunter
4:00 PM	Break
4:15 PM	Smart Streams: A Real-time framework for scoring Big and Fast Data Vedant Jain	Deep Learning and Modern NLP Zachary S. Brown
4:50 PM	Feature Engineering, Feature Selection and Class Architecture Approaches to Build Optimal Models Ben Fowler
5:25 PM
6:00 PM	Social Event - 6th Floor, CIC Miami Hosted by NVIDIA
9:00 PM

General Sessions — Thursday Jan. 10, 2019

	Main Room	Tutorial Room
8:30 AM	Registration
9:00 AM	Inside NVIDIA's AI Infrastructure for Self-Driving Cars and Beyond (Hint: It's all about the Data) Clément Farabet
9:45 AM	Machine Learning and Healthcare: Why my radiologist is not yet an algorithm Michoel Snow
10:20 AM	Break
10:35 AM	MLflow: Infrastructure for a Complete Machine Learning Life Cycle Jules Damji	Pandas and plots for data analysis Abhijit Dasgupta
11:10 AM	Weather and Electric Load Forecasting with Python Data Science Tools Nelson Correa
11:45 AM	Your data fits in RAM: how to avoid cluster computing Aaron Richter
12:20 PM	Lunch
1:30 PM	Visual Diagnostics for More Effective Machine Learning Benjamin Bengfort	Introduction to PyTorch Robert Alvarez
2:05 PM	Efficient and Flexible Hyperparameter Optimization Dan Ryan
2:40 PM	Because You Can Run, You Can't Hide: Some Musings on API Design James Powell
3:15 PM
3:30 PM	PyData Meetup at Venture Cafe: NVIDIA RAPIDS PyData Miami / Machine Learning Meetup
5:30 PM

General Sessions — Friday Jan. 11, 2019

	Main Room	Tutorial Room
8:30 AM	Registration
9:15 AM	Responsible AI Practices: Fairness in ML Alex Hanna
10:00 AM	Break
10:15 AM	Exposing dark data in the enterprise with custom NLP Justin J. Nguyen	Writing Continuous Applications with Structured Streaming Python APIs in Apache Spark Jules Damji
10:50 AM	The necessity of pipelines in Natural Language Processing and how we should think about them Zachariah Miller
11:25 AM	Intro to Dash Chelsea Douglas
12:00 PM	Lunch
1:15 PM	Ursa Labs and Apache Arrow in 2019 Wes McKinney
2:00 PM	Break
2:15 PM	Words in Space: A Visual Exploration of Distance, Documents, and Distributions for Text Analysis Dr. Rebecca Bilbro	Putting TensorFlow Models into Production Bugra Akyildiz
2:50 PM	Soss: Lightweight Probabilistic Programming with No Performance Ceiling Chad Scherrer
3:25 PM	You Should Probably Be Doing Nested Cross-Validation Sergey Feldman
4:00 PM	Break
4:15 PM	Build and deploy a Python bokeh application on a Linux server Russell Burdt	Effortless APIs with Flask and AWS Lambdas Santiago Basulto
4:50 PM	Does This Algorithm Have a Soul? Betina Costa
5:25 PM	Data science problems in professional sports Brian Macdonald
6:30 PM
9:30 PM