Wind Turbine Predictive Maintenance on Azure Databricks – Part 6: Deploying and Predicting on Azure ML
Finally we get to Part 6 of 6 of this sequence to implement a real-time Wind Turbine Predictive Maintenance application....
Finally we get to Part 6 of 6 of this sequence to implement a real-time Wind Turbine Predictive Maintenance application....
In Part 5 of 6 of this sequence to implement a real-time Wind Turbine Predictive Maintenance application, we train and...
Our objective with machine learning is to design models, train them, validate them, and deploy them. Our main interface will...
In the prior exercise we ran our own build of Spark on Kubernetes. At one time that was necessary. However,...
In this exercise our goal is to run Spark on a MicroK8s install running on a single Multipass node. We’ll...
In previous posts we’ve joined Jetson Nano nodes into Kubernetes clusters and run software in Pods on the Nano’s that...
In this post, we’ll build an image hosting a TensorFlow and run it as a Pod in Kubernetes on an...
Many enterprises might prefer to run AI models locally – on edge devices – but end up running in the...
In part 4 of 6 of implementing a real-time Wind Turbine Predictive Maintenance application, we continue Delta Lake processing by...
In part 3 of 6 for implementing a real-time a Wind Turbine Predictive Maintenance application, we get to work collecting,...