We had an eye-opening meeting earlier this week, and I started to get confident we can make our first defined…
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PyCharm Pro Scientific Mode
NB! Scientific mode is only available in the Pro version of PyCharm. Started wondering how to execute Jupyter style of…
Classifying logs – gathering data
During the weekend I was delighted to find a good blog series from a Canadian data scientist: Susan Li. Digging…
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,…
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…
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…
Environment installation
Finished project installation guide on Github Web server anomaly detection Github page has full installation guide for manual and Docker…
Where do we start?
After the project presentation, we will start by making a HelloWorld test prototype. The purpose of a prototype machine learning…
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…
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…
Detecting log anomalies with machine learning 