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Data Science Deployed

Data Science Deployed

Written by: @dsdeployed
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The podcast for discussions on creating, managing and deploying data science projects in biotech, materials science and computer vision.Copyright 2021 All rights reserved.
Episodes
  • Episode #9 - Linked Data with Donny Winston
    Nov 24 2021

    This week we talk about linked data, how to get started with it, and how it is currently being used.

    Donny's Linked Data GitHub Repo and Course - https://github.com/polyneme/intro-linkeddata-mongo-python YouTube PlayList - https://youtube.com/playlist?list=PL9QvE4W_ly6NzUSUIpsGJOtFM-aot5H2q

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    Follow the podcast on Twitter: @dsdeployed https://twitter.com/dsdeployed

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    Donny Winston

    I help researchers do data-intensive science together. Twitter: https://twitter.com/donnywinston @donnywinston Email: donny@polyneme.xyz Website: https://polyneme.xyz/ LinkedIn: https://www.linkedin.com/in/donnywinston/

    Ben Cook I help data science teams deploy their algorithms because a machine learning model is only as good as the system that delivers it.

    Twitter: ​​@jbencook https://twitter.com/jbencook LinkedIn: https://www.linkedin.com/in/jbencook/ Email: ben@sparrow.dev Website: https://sparrow.dev/

    Jillian Rowe I help biotech startups deploy scalable high performance compute infrastructure on AWS.

    Email: jillian@dabbleofdevops.com Website: https://www.dabbleofdevops.com Twitter: www.twitter.com/jillianerowe LinkedIn: https://www.linkedin.com/in/jillian-rowe-9410437a/

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    56 mins
  • Episode #8 Computer Vision Annotation with Label Studio
    Nov 17 2021

    This week we talk about computer vision annotation platforms in general and Label studio in particular!

    Label studio: https://labelstud.io/ Webinar Replay on Instnace Segmentation - https://youtu.be/ULeWxgVH4SY

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    Follow the podcast on Twitter: @dsdeployed https://twitter.com/dsdeployed

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    Donny Winston

    I help researchers do data-intensive science together. Twitter: https://twitter.com/donnywinston @donnywinston Email: donny@polyneme.xyz Website: https://polyneme.xyz/ LinkedIn: https://www.linkedin.com/in/donnywinston/

    Ben Cook I help data science teams deploy their algorithms because a machine learning model is only as good as the system that delivers it.

    Twitter: ​​@jbencook https://twitter.com/jbencook LinkedIn: https://www.linkedin.com/in/jbencook/ Email: ben@sparrow.dev Website: https://sparrow.dev/

    Jillian Rowe I help biotech startups deploy scalable high performance compute infrastructure on AWS.

    Email: jillian@dabbleofdevops.com Website: https://www.dabbleofdevops.com Twitter: www.twitter.com/jillianerowe LinkedIn: https://www.linkedin.com/in/jillian-rowe-9410437a/

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    43 mins
  • Episode #7 - Python Package Management with Poetry
    Nov 3 2021

    This week we're talking about Python Package management with Poetry along with general data versioning and software stack management tips, tricks, and complaints.

    Ben started us off with an article he wrote introducing Poetry - https://sparrow.dev/python-poetry-machine-learning/

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    Follow the podcast on Twitter: @dsdeployed

    https://twitter.com/dsdeployed

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    Donny Winston

    I help researchers do data-intensive science together.

    Twitter: https://twitter.com/donnywinston @donnywinston

    Email: donny@polyneme.xyz

    Website: https://polyneme.xyz/

    LinkedIn: https://www.linkedin.com/in/donnywinston/

    Ben Cook

    I help data science teams deploy their algorithms because a machine learning model is only as good as the system that delivers it.

    Twitter: ​​@jbencook https://twitter.com/jbencook

    LinkedIn: https://www.linkedin.com/in/jbencook/

    Email: ben@sparrow.dev

    Website: https://sparrow.dev/

    Jillian Rowe

    I help biotech startups deploy scalable high performance compute infrastructure on AWS.

    Email: jillian@dabbleofdevops.com

    Website: https://www.dabbleofdevops.com

    Twitter: www.twitter.com/jillianerowe

    LinkedIn: https://www.linkedin.com/in/jillian-rowe-9410437a/

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    46 mins
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