Kubernetes Minikube #4 – R/RStudio Server with Tensorflow on (external) GPU
Data Science / GPU / Kubernetes / Machine Learning / MLOps / R / tensorflow

Kubernetes Minikube #4 – R/RStudio Server with Tensorflow on (external) GPU

As a Data Scientist, I want to work on an RStudio Server image managed by Kubernetes with GPU capability. The motivation for doing this is that I can then access a machine learning rig that is 1) scale invariant (same from desktop to Cloud), 2) leverages Kubernetes for scheduling and 3) taps me into the … Continue reading

SparkR with OpenShift
Data Science / DevOps / OpenShift / R

SparkR with OpenShift

Let’s set up a data science workbench on OpenShift (docker/kubernetes). The components will be an RStudio Server executing SparkR instructions to a remote Apache Spark instance, all hosted within a local OpenShift cluster instance. Examples include processing AWS S3 Bucket hosted data from Spark. So saddle up and ride ole’ Roxy all the way! This lab is another in … Continue reading

Jupyter and R with OpenShift
Data Science / DevOps / OpenShift / R

Jupyter and R with OpenShift

UPDATE – Visit SparkR with OpenShift for lastest r-notebook/OpenShift solution. – UPDATE The cool kids are using Jupyter notebooks. But we are going to step it up a notch by hosting an R-enabled Jupyter notebook on OpenShift. Max Bugger, may he rest-in-peace, will show you how. This lab is another in the OpenShift MiniLabs series. This blog post has been … Continue reading

The Weight Watcher – a Goal Attainment Scale
Behaviour / Data Science / DevOps / PaaS / Technology

The Weight Watcher – a Goal Attainment Scale

This blog is about where technology meets the behavioural sciences, so here we have a post describing how technology can be an adjunct to encourage adherence to a weight management intervention.  In this example we show how to monitor progress of the 5:2 Fast Diet using the Goal Attainment Scale method together with actual weight measurement … Continue reading

4CastR – a Sales Forecast Method in R
Data Science / Methodology / Presales / R

4CastR – a Sales Forecast Method in R

This post describes a simple methodology by which to organise and visualise a sales pipeline. Sales opportunities are scored along two dimensions – the maturity of the business case and your relative competitive standing. Once scored, results can be graphically depicted using a balloon chart in which the area of the circle scales to the … Continue reading

Really Simple Rules Service
Data Science / OpenShift

Really Simple Rules Service

The Drools rules engine provides a very powerful business rule processing capability.  However, implementing even the most simple of use cases may require considerable client side scaffolding code.  This post presents a pattern on how Drools services can be consumed and produced as a very simple service – really simple rules service (RSRS).  The method … Continue reading