Archives
- Tue 01 December 2020
- Deploying Python ML Models with Bodywork
- Sun 28 July 2019
- Best Practices for PySpark ETL Projects
- Fri 18 January 2019
- Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs
- Thu 10 January 2019
- Deploying Python ML Models with Flask, Docker and Kubernetes
- Wed 07 November 2018
- Bayesian Regression in PYMC3 using MCMC & Variational Inference
- Mon 08 May 2017
- Machine Learning Pipelines for R
- Mon 28 November 2016
- elasticsearchr - a Lightweight Elasticsearch Client for R
- Wed 02 November 2016
- Asynchronous and Distributed Programming in R with the Future Package
- Mon 19 September 2016
- An R Function for Generating Authenticated URLs to Private Web Sites Hosted on AWS S3
- Mon 29 August 2016
- Building a Data Science Platform for R&D, Part 4 - Apache Zeppelin & Scala Notebooks
- Mon 22 August 2016
- Building a Data Science Platform for R&D, Part 3 - R, R Studio Server, SparkR & Sparklyr
- Thu 18 August 2016
- Building a Data Science Platform for R&D, Part 2 - Deploying Spark on AWS using Flintrock
- Tue 16 August 2016
- Building a Data Science Platform for R&D, Part 1 - Setting-Up AWS