Dockerized WordPress on a Raspberry Pi

This blog runs on a a Raspberry Pi since 9th April 2019 and surprisingly the Pi performs quiete well. WordPress on itself does not need too many ressources for my use case since i don’t have hundreds of visitors per day, leaving capcaity for other applications.

The current setup includes an out of the box docker-compose and a backup script which uploads files to the dropbox cloud storage. In this series i would like to give you a short introduction how my setup works and how you could set it up by yourself.

How To – The Mean Average Precision

As a grad student, just entering the world of object detection i found it quite helpful, that there are a lot of resources especially blog posts, made easy to quickly digest complex concepts and ideas. If you type in related search phrases you will find some splendid results on how to calculate the mAP on the first page. The explanation of the basic components is mostly in a very easy and straightforward manner, but sometimes just did not explain the calculation of the mAP correctly. This confused me a lot which is why i came to write this blog post of my findings.

SQL Notes

Personal collection of SQL snippets and notes, which are quite handy, but often times used too rarely and in case of need never available.

My Background

Since 2016 I have been a working student at a BI department, with some minor hiatus periods where i attended my exchange semester in Japan or went for an internship in another city. Some of my main working experience include:

  • Working on an existing datawarehouse plattform (analysis/operations & upgrade/extent) in the context of logistics
  • Main architect and developer of a datawarehouse framework based on open source tools
  • Currently slowly transition to Machine Learning (anomaly detection in streaming data)

Within my studies i was able to participate in some interesting modules and group projects:

  • Object detection with the Tensorflow API in Azure
  • Extending a datastream pipeline in Flink for real time data processing
  • Literature review with the rougly translated topic “Application of ML in industrial incident management, regarding production machines”

Some relevant technology buzzwords include: Data Vault Modeling 2.0, Airflow, Superset, Postgres, Python, pytorch, SQL, OCI, Docker, Kubernetes, Terraform, Shell Scripting, git, MSSQL, SSIS

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hungsblog | Nguyen Hung Manh | Dresden