Creating End-to-End MLOps pipelines using Azure ML and Azure PipelinesIn this 7-part series of posts we'll be creating a minimal, repeatable MLOps Pipeline using Azure ML and Azure Pipelines. The…
Searching document text at scale using Azure Cognitive SearchThis blog post is accompanied by another post entitled Creating custom skills in Azure Cognitive Search using Azure ML. This is the…
Creating custom skills for Azure Cognitive Search using Azure MLThis blog post is accompanied by another post entitled Searching document text at scale using Azure Cognitive Search. This is the…
Multiclass Text Classification with PySparkIn this post we’ll explore the use of PySpark for multiclass classification of text documents. The data I’ll be using here contains Stack Overflow questions and…
Using Azure AutoML and AML for Assessing Multiple Models and DeploymentIn this post we'll be exploring how we can use Azure AutoML in the cloud to assess the performance of…
Deploying Neural Network models to Azure ML Service with Keras and ONNXIn this post we'll be exploring the deployment of a very simple Keras neural network model to the Azure…
Parallel task processing from a message queue using Azure Kubernetes Service and python In this post, we're going to have a look at using Azure Kubernetes Service to scale out…
Gradient Boosting in python using scikit-learnGradient boosting has become a big part of Kaggle competition winners' toolkits. It was initially explored in earnest by Jerome Friedman in the paper Greedy…
Working with timezones in python This very short post looks at converting dates between timezones. The most prevalent library for timezones in python is pytz, which can be installed by:…
Creating a risk matrix graphic using R and ggplot2 In this post we're going to look at creating a risk matrix using R and ggplot2 to visualise the time impact,…