Data Science Deployed: Recent Episodes
@dsdeployed
The podcast for discussions on creating, managing and deploying data science projects in biotech, materials science and computer vision.
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
Follow the podcast on Twitter: @dsdeployed https://twitter.com/dsdeployed
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/
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
Follow the podcast on Twitter: @dsdeployed https://twitter.com/dsdeployed
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/
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/
Follow the podcast on Twitter: @dsdeployed
https://twitter.com/dsdeployed
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/
Today we talk about Data Versioning. Why you should do it, what to do about humans in the loop, and how to minimize mistakes.
Tools mentioned:
DVC - https://dvc.org/
Quilt Data Versioning - https://quiltdata.com/
Apache Airflow - https://airflow.apache.org/
Apache Superset - https://superset.apache.org/
OpenProject - https://www.openproject.org/
Follow the podcast on Twitter: @dsdeployed
https://twitter.com/dsdeployed
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/
This week we discuss Pangeo, how they structured their project from infrastructure to data science, and how that can inform other projects.
Read more about Pangeo: https://medium.com/pangeo/pangeo-2-0-2bedf099582d
And see the showcase: https://pangeo.io/pangeo-showcase.html#pangeo-showcase
Follow the podcast on Twitter: @dsdeployed
https://twitter.com/dsdeployed
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/
We're talking with Greg this week about the peopling around data science. He brings up tons of excellent points.
You can find out more about Greg on Twitter: https://twitter.com/gvwilson
https://github.com/gvwilson/12-design
https://merely-useful.tech/py-rse/
https://www.amazon.com/Fearless-Change-Patterns-Introducing-paperback/dp/0134395255
https://www.amazon.com/dp/B0051HSJBE/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1
https://www.amazon.com/Discussion-Book-Great-People-Talking/dp/1119049717
https://producingoss.com/
https://codebender.org/
Follow the podcast on Twitter: @dsdeployed
https://twitter.com/dsdeployed
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/
Co-Host Ben Cooks discusses his work around deploying Machine Learning models, and how you can make sure you are set up for success before you ever start writing code.
https://sparrow.dev/source-code-layout-ai-pipelines/
Follow the podcast on Twitter: @dsdeployed
https://twitter.com/dsdeployed
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.
BioDeploy: https://github.com/dabble-of-devops-biodeploy
Email: jillian@dabbleofdevops.com
Website: https://www.dabbleofdevops.com
Twitter: www.twitter.com/jillianerowe
LinkedIn: https://www.linkedin.com/in/jillian-rowe-9410437a/
This week we talk to cohost Jillian Rowe, an independent consultant for Bioinformatics. She is currently developing BioDeploy, a science-first approach to deploy High-Performance Compute Infrastructure on AWS.
You can follow along with the development on her blog at https://www.dabbleofdevops.com/blog, or on GitHub at https://github.com/dabble-of-devops-biodeploy.
Follow the podcast on Twitter: @dsdeployed
https://twitter.com/dsdeployed
Donny Winston
I help researchers do data-intensive science together.
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/
Donny talks about the Materials Project.
You can find out more here
https://docs.materialsproject.org/methodology/elasticity-prediction/ https://raw.githubusercontent.com/materialsproject/propjockey/master/docs/gateways2016-talk-slides.pdf
Contact the Hosts for Consulting:
Jillian
jillian@dabbleofdevops.com
https://www.dabbleofdevops.com
Twitter: @jillianerowe https://twitter.com/jillianerowe
Ben Cook
Twitter: @jbencook https://twitter.com/jbencook
Email: ben@sparrow.dev
Donny Winston
donny@polyneme.xyz
Website
Website