Explore tweets tagged as #PyDataMiami2019
@RunsAsCoded from @IcahnInstitute presenting about infrastructure for working with large single cell RNA sequencing data at @PyDataMiami Starts with explaining biology in terms computer folks are more familiar with. #pydatamiami2019
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Over 450 open source projects, with 43K datasets, 252 APIs for developers, says Anita of โฆ@NASAโฉ โฆ@PyDataMiamiโฉ #PyDataMiami2019.
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@clmt pitching @ApacheArrow at #pydatamiami2019, goal is to avoid spending 80% of resources on serializing/deserializing data (Problem we hit often in early days of @hammer_lab)
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@SergeyFeldman starting his #PyDataMiami2019 talk on nested cross validation, an essential but simple way to get unbiased estimates of model accuracy after selection
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Packed room for @albertocairoโs amazing presentation on โHow We Lie To Ourselves With Chartsโ #PyDataMiami2019 @PyDataMiami
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Fantastic closing talk on Python API design by @dontusethiscode today at #PyDataMiami2019 @PyDataMiami
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Big shout out to @anitakirkovska for the amazing presentation today on Open Data from #NASA @PyDataMiami #PyDataMiami2019 ๐
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Downtown Miami's street art game is strong. Thanks @iskander and #PyDataMiami2019 for having me!
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The @rapidsai team has given some great #ai talks during the #PyDataMiami2019 conference, so we pulled them aside to get a quick pitch on why #rapidsai should be a part of your #machinelearning workflow. 10x speed ups using GPUs with easy portability? We're convinced! #NVIDIA
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Sponsors who made #pydatamiami2019 possible: @nvidia, @plotlygraphs, @DistrictDataLab, @Lucidworks, @modmed, @DataSciSalon / @formulatedby, @IcahnInstitute, Data Miami, @PalmBeachTech, & Cafe Pilon!
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Michael Snow showing that DeepRadiologyNet only gets "better than human" accuracy on easy subset of their data Curious what @ekoermann thinks about current state of radiology ML. #PyDataMiami2019
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@databricks @vedantja shares a framework for scoring big & fast data with #ApacheSpark #StructureStreaming @PyDataMiami #PyDataMiami2019
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@clmt showing #PyDataMiami2019 an @NvidiaAI workflow that does model selection of object detectors for self driving cars
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