Assessing bias in search results
05/07/19
In this article, I describe the idea behind the retrievability metric which can be used to measure bias in search results. Read more
13 Search Results for Data Science
Can you win the stacking challenge? An example of heuristic optimization
03/27/19
How to use heuristic algorithms to solve complicated optimization problems: Can you win the stacking challenge? Read more
Machine learning: Moving from experiments to production
03/19/19
Join me as I go back to the drawing board and think about approaches to plan an ML pipeline that fits your organization’s needs. We'll look at goals, technical approaches and an example architecture. Read more
A walkthrough of DVC
03/13/19
How to systematially organize Machine Learning model development? Meet DVC (data version control), which supports you with this task. Read more
Better time series forecasting using expert knowledge
02/15/19
Methods for time series forecasting have become more and more powerful in recent decades, ranging form simple linear models to complex machine learning algorithms. Read more
Predictive Maintenance as business driver
The aim of Predictive Maintenance (PrM) is to timely identify anomalies, and indicate a safe interval of time to perform the necessary repair. Read more
Matrix Factorization for Ad Recommendation
03/14/18
This blog post describes how matrix factorization can be applied to the problem of ad targeting. It draws from my experience of developing a machine-learning-based solution for this task. Read more
Deep Learning Workshop at codecentric AG in Solingen
02/06/18
How does Big Data Analysis work? To find that out, I participated in the workshop on "Deep Learning with Keras and TensorFlow". Read more
Looking beyond accuracy to improve trust in machine learning
01/09/18
Because complex machine learning models are essentially black boxes and too complicated to understand, we need to use approximations to get a better understanding of how they work, e.g. with LIME. Read more