Conference Schedule

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

Subscribe to Receive PyData Updates

Tickets

Get Now