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
8 Search Results for Data Science
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
Explore Predictive Maintenance with flexdashboard
11/02/17
You can interactively explore different analysis techniques for Predictive Maintenance with this flexdashboard. Read more
Data Science for Fraud Detection
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
Social Network Analysis and Topic Modeling of codecentric’s Twitter friends and followers
07/25/17
Recently, Matthias Radtke has written a very nice blog post on Topic Modeling of the codecentric Blog Articles, where he... Read more
Spam classification using Spark’s DataFrames, ML and Zeppelin (Part 1)
06/23/16
This is the first entry in a series of blog posts about building and validating machine learning pipelines with Apache... Read more