We had an eye-opening meeting earlier this week, and I started to get confident we can make our first defined … More
Category: Uncategorized
PyCharm Pro Scientific Mode
NB! Scientific mode is only available in the Pro version of PyCharm. Started wondering how to execute Jupyter style of … More
Classifying logs – gathering data
During the weekend I was delighted to find a good blog series from a Canadian data scientist: Susan Li. Digging … More
Migrating personal project workspace to Arch Linux
These integrations we have working are awesome! PyCharm IDE can also process Dockerfiles. The IDE configurations can be shared aswell, … More
PyCharm, Tensorflow-gpu-Docker container and Git integration
I had some trouble getting the GPU support work on the PyCharm-Docker combo, but it turned out I was only … More
Tuning the environment further
We have now fresh Ubuntu’s with all the machine learning libraries and GPU support handily configured by Docker. Tensorflow docker … More
Environment installation
Finished project installation guide on Github Web server anomaly detection Github page has full installation guide for manual and Docker … More
Where do we start?
After the project presentation, we will start by making a HelloWorld test prototype. The purpose of a prototype machine learning … More
Review of the gathered material
Machine learning and AI are hot topics, so there is plenty of material around. We have found 2 really good … More
Constructing a supervised learning model
With machine learning the dataset that is used to train the learning program is critical. Feeding a dataset of correct … More
Detecting log anomalies with machine learning 