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

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

Introduction 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 … 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

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

4CastR – a Sales Forecast Method in R

Overview 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 … Continue reading