Weekly roundup of MLOps and DataOps - Issue #4

Hello Folks,

This week I am really excited to bring four hand curated links on MLOPS that you can´t miss …

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 https://www.amazon.com/Machine-Learning-Design-Patterns-Preparation/dp/1098115783

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

If you have been working on azure and want help in pushing your ML models to production using Azure here is the link - https://github.com/Microsoft/MLOps

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

Want to use a cookie cutter template to create your CI/CD model using Databricks, here is the template you can use

DataScience cannot create revenue for business unless ML models are pushed to production, Abundanceai.com helps in one click deployments of your ML models on the cloud or within your local datacenter.