The #podcast that investigates how #DataScientists are building, testing and deploying their models in to #production. #MachineLearning #DataOps
In Production
Joined December 2018
- Tweets15
- Following634
- Followers325
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Data Science In Production retweeted
Baa, baa, Kubernetes,
Have you any pods?
Yes sir, yes, sir,
They're all in prod;
One for the master
And one for the node
And for the little service
That can balance the load.
Data Science In Production retweeted
Kicking off the afternoon with the second keynote of the day - this time with some thoughts from the creator of scikit-learn. Firstly - what are the biggest problems in data science? Turns out data quality is still the winner! #SparkAISummit
The latest episode of Data Science in Production just went live. Featuring an interview with @hboelman. We discuss @Glob_AIBootcamp & @GlobalAINights as well as #DevOps for #DataScience and much more. Listen online or on your #Podcast provider of choice.
advancinganalytics.co.uk/blo…
Episode 5 is now live. We explore #DataLakes for #DataScience. Building a central hub for all data can accelerate #MachineLearning, but it is hard. Listen this month to find out how to make it a little easier! dsip.co.uk (Please rate us on your service of choice!)
Data Science In Production retweeted
Data Science In Production Episode 5: Data Lakes for Data Science advancinganalytics.co.uk/blo…
Episode 2 featured an interview with @Dr_Tempest & @ecsquendor. We talked about #DeepLearning, #Docker, #Kubernetes and #TimTam biscuits! Stream the episode now at dsip.co.uk or download for the drive home on Itunes, Stitcher, Spotify.
What is #MLFlow? @DSInProduction talks to the creator of MLFLow @matei_zaharia in the latest episode of Data Science in Production #MachineLearning
Data Science In Production retweeted
Getting started with #MLFlow in Azure Databricks advancinganalytics.co.uk/blo…
Data Science In Production retweeted
Data Science In Production Episode 4: #MLFlow with Matei Zaharia advancinganalytics.co.uk/blo…
Data Science In Production retweeted
What languages should you learn for #MachineLearning #Engineering? We scraped indeed.com and the results are in. Of the 107 jobs scraped 84% wanted #Python, 28% #Scala, 26% #C++, 12% #Java and only 5% for #R. For us, that solves the #Python vs #R debate
Episode 2: Deploying #DeepLearning models with Tim Scarfe @ecsquendor and Tempest van Schaik @Dr_Tempest
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Episode 1: Setting the scene and the problems in #DataScience. Check up the full show notes for links to the content mentioned. #MachineLearning #DataOps
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We are live on most Podcasting formats. You can read about what DSIP is trying to achieve here: advancinganalytics.co.uk/blo… @AdvAnalyticsUK #MachineLearning