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
03/13/19
How to systematially organize Machine Learning model development? Meet DVC (data version control), which supports you with this task. Read more
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
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
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
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
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
11/02/17
You can interactively explore different analysis techniques for Predictive Maintenance with this flexdashboard. Read more
09/06/17
I am going to show an example of how Data Science techniques can be used to identify fraud in financial transactions. I will offer some insights into the inner workings of fraud analysis. Read more
