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Conferences / PyData

PyData Miami 2019

Jan 9–11, 2019 · CIC Miami, Miami, FL, United States

Conference
PyData Data science & ML
Dates
Jan 9, 2019 – Jan 11, 2019
Venue
CIC Miami
Place
Miami, FL, United States
Format
In person
Status
Past
Attendance
—
Website
pydata.org
Recorded
11 sponsors · 39 speaker appearances
Notes
Venue address: 1951 NW 7th Avenue Suite 600, Miami, FL 33136. Keynotes per the home page: Wes McKinney, Clément Farabet, Chao Han, Alberto Cairo, Alex Hanna. Speakers: all scheduled talks/tutorials (social events omitted); affiliations only where the pydata.org speaker profile states one. Video URLs matched from the PyData YouTube playlist "PyData Miami 2019". Ticket prices not found (Eventbrite page no longer shows them; Wayback Machine unreachable during research).

Ticket prices

No ticket prices recorded

Sponsors 11

Speakers and talks 39

SpeakerCompanyRoleTalkLinks
Alberto CairoUniversity of MiamiKeynoteHow We Lie to Ourselves With ChartsVideo
Alex HannaGoogleKeynoteResponsible AI Practices: Fairness in MLVideo
Chao HanLucidworksKeynoteDeep learning vs conventional machine learning (algorithm comparisons and case studies)Video
Clément FarabetNVIDIAKeynoteInside NVIDIA's AI Infrastructure for Self-Driving Cars and Beyond (Hint: It's all about the Data)—
Wes McKinneyUrsa LabsKeynoteUrsa Labs and Apache Arrow in 2019Video
Aaron RichterModernizing MedicineSpeakerYour data fits in RAM: how to avoid cluster computingVideo
Abhijit Dasgupta—SpeakerPandas and plots for data analysisVideo
Anita Kirkovska—SpeakerNASA influence on open data projects—
Ben FowlerJM Family EnterprisesSpeakerFeature Engineering, Feature Selection and Class Architecture Approaches to Build Optimal Models—
Benjamin BengfortGeorgetown UniversitySpeakerVisual Diagnostics for More Effective Machine LearningVideo
Betina CostaThoughtworksSpeakerDoes This Algorithm Have a Soul?Video
Brian MacdonaldGreaterThanPlusMinus LLCSpeakerData science problems in professional sports—
Bugra AkyildizJet.comSpeakerPutting TensorFlow Models into ProductionVideo
Chad ScherrerMetisSpeakerSoss: Lightweight Probabilistic Programming with No Performance CeilingVideo
Chelsea DouglasPlotlySpeakerIntro to DashVideo
Colleen M. FarrellyQuantopoSpeakerQumodes and Quantum Generalized Linear Models—
Dan RyanNextEra EnergySpeakerEfficient and Flexible Hyperparameter OptimizationVideo
Dante GatesCadentSpeakerModel Evaluation For HumansVideo
Ike Uchenna ChukwuQuantopoSpeakerQumodes and Quantum Generalized Linear Models—
Jakub HavaH2O.aiSpeakerProductionizing H2O Models with Apache SparkVideo
James Powell—SpeakerBecause You Can Run, You Can't Hide: Some Musings on API Design—
Joshua PattersonNVIDIASpeakerGPU Data Science with RAPIDSVideo
Jules DamjiDatabricksSpeakerMLflow: Infrastructure for a Complete Machine Learning Life CycleVideo
Jules DamjiDatabricksSpeakerWriting Continuous Applications with Structured Streaming Python APIs in Apache Spark—
Justin J. Nguyen—SpeakerExposing dark data in the enterprise with custom NLPVideo
Keith KrausNVIDIASpeakerGPU Data Science with RAPIDSVideo
Mash Zahid—SpeakerApplying rigorous machine learning methods in business strategyVideo
Michoel SnowAlbert Einstein College of MedicineSpeakerMachine Learning and Healthcare: Why my radiologist is not yet an algorithmVideo
Nelson Correa—SpeakerWeather and Electric Load Forecasting with Python Data Science Tools—
Rebecca Bilbro—SpeakerWords in Space: A Visual Exploration of Distance, Documents, and Distributions for Text AnalysisVideo
Robert AlvarezMetisSpeakerIntroduction to PyTorchVideo
Russell BurdtASMLSpeakerBuild and deploy a Python bokeh application on a Linux serverVideo
Ryan WilliamsIcahn School of Medicine at Mount SinaiSpeakerAccelerating Single-cell Bioinformatics with N-dimensional Arrays in the CloudVideo
Santiago BasultoRMOTRSpeakerEffortless APIs with Flask and AWS LambdasVideo
Sergey FeldmanData CowboysSpeakerYou Should Probably Be Doing Nested Cross-ValidationVideo
Vedant JainDatabricksSpeakerSmart Streams: A Real-time framework for scoring Big and Fast DataVideo
Will Hunter—SpeakerIntroduction to Data Analysis Methods in Particle PhysicsVideo
Zachariah MillerMetisSpeakerThe necessity of pipelines in Natural Language Processing and how we should think about themVideo
Zachary S. BrownS&P Global Market IntelligenceSpeakerDeep Learning and Modern NLPVideo

Sources