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Weekly roundup of MLOps and DataOps - Issue #4

Weekly roundup of MLOps and DataOps
Weekly roundup of MLOps and DataOps - Issue #4
By Subbu Banerjee • Issue #4 • View online
Hello Folks,
This week I am really excited to bring four hand curated links on MLOPS that you can´t miss …

ML Design Patterns
If you are a software engineer, the GOF design patterns book might/should be on your book shelf, following the same paradigm Valliappa Lakshmanan  (Author), Sara Robinson (Author) and Michael Munn (Author) have come up design patterns for ML and MLOPS. And here is an unaffiliated link to the book
Also if you want a quick guide of how the ML patterns correlate with each other here is the github link and a video where the authors explain four of the patterns from the book
MLOPS on Azure
If you have been working on azure and want help in pushing your ML models to production using Azure here is the link -
MLOPS maturity model
Your data scientist starts out with hand coding and hand pushing the models into production - this is MLOPS stages 0, do you know what MLOPS stage 3 is? To find out here is a detailed account of MLOPS maturity models
MLOPS databricks templates
Want to use a cookie cutter template to create your CI/CD model using Databricks, here is the template you can use
And lastly a note of thanks to our sponsors
DataScience cannot create revenue for business unless ML models are pushed to production, helps in one click deployments of your ML models on the cloud or within your local datacenter.
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Subbu Banerjee

Weekly roundup of MLOps and DataOps

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