Digital-Thinking
A Programmers Blog about Machine Learning and Webdevelopment
Sometimes it happens, that you have input data, which does not really fit into standard approaches. In this post I will show, how to build a keras model, which operates on sequences of sequences. To be precise a model is…
In this post I will show how to combine features from natural language processing with traditional features (meta data) in one single model in keras. This can be done, by using multiple inputs and is not just usable in this…
This is the second part of the comparison between artificial neural networks in a binary chat classification task. In this post I will show that neural networks outperform traditional approaches, like show in the previous post. Furthermore, I will show…
In the last months I was working on a text classification problem at the university. The problem is basically a binary classification of chat-like text data, where the training dataset consists of 500k messages and these messages belong to ~150k…
When looking on Quora, reddit etc. people often ask how much math is required in machine learning. In addition some courses on udemy or other online learning platforms require a lot of prerequisites. In this post I try to make…
I recently started a new framework project for text classification and wanted to move to Java 9 and the Jigsaw module system. Unfortunately I had to stop the usage of Jigsaw in Java 9 for several reasons and I want…
In this post I want to show you a very nice technology stack, which can be used to manage your passwords in Keepass, connect it to your web browser and make it possible to open ssh and scp connections easily….
In this post I will show, how to report jmx metrics to logstash via TCP on a push based way, without changing java code from an existing application.
Data engineering is the link between data science and software engineering. Data engineers often work together with data scientists and analysts and help them to do their job efficiently. Moreover they are responsible for transforming models and prototypes built by…
In the last months I was working on a deep learning project. The goal was to dig into Tensorflow and deep learning in gerneral. For this purpose I re-implemented a paper from January 2016 called convolutional pose machines , which uses deep…