Here are 10 excellent open manufacturing datasets and data sources for manufacturing data for machine learning.
In part 4 of the guide to using Azure ML with the Iguazio feature store, we cover model serving on-prem and hybrid cloud, and model monitoring.
In part 3 of the guide to using Azure ML with the Iguazio feature store, we cover model training via Azure ML, while leveraging Iguazio.
In part 2 of the guide to using Azure ML with the Iguazio feature store, we cover data ingestion and transformation into the feature store.
We often get asked how our feature store works with Microsoft Azure Cloud, so Nicholas Schenone put together this guide. This 4-part blog series will take you through the process step by step, with plenty of code examples and helpful tips.
The cool thing about being in the ML industry for so long is that I have a front row seat to a fascinating market characterized by rapid innovation. So before we toast to a new (and better!) year ahead, here are my predictions of what awaits the ML industry in 2022.
Gone are the days when data science can safely remain in its own silo. Modern AI applications require a continuous operational pipeline and a production-first approach to make it all feasible.
