Data Science

Introduction In our last blog post about Automated Meter Reading (AMR), we tackled the automated reading of meter digits by using different (static) preprocessing methods to segment single digits, followed by a template matching procedure...

Introduction Nowadays automation is used heavily to optimize processes and facilitate labour-intensive tasks. One task that is not necessarily labour-intensive, but a task that has to be completed with humans in the loop is meter...

In the last part of this reinforcement learning series, we had an agent learn Gym’s taxi-environment with the Q-learning algorithm. We achieved decent scores after training our agent for long enough. But this approach reaches its limits pretty quickly....

How does the average employee of Novatec look like? In this post we want to investigate deeper generative models in order to solve this question. Generative Adversarial Nets (GANs) can be understood as an adversarial...

Automated Meter Reading (AMR) using Computer Vision - Part 2: How We Gained Adaptabilit...

Emoji analysis for a feelgood index

Exploring Automated Meter Reading (AMR) using Computer Vision - Part 1

Reinforcement learning - Part 3: Creating your own gym environment

Reinforcement learning – Part 2: Getting started with Deep Q-Networks

Reinforcement learning – Part 1: Introduction to Q-learning

GANs – Applied on Novatec employees

Recurrent Neural Networks for time series forecasting