Category: Data Science
Monotoniebedingungen können helfen den Sachverhalt besser durch Modelle darstellen zu lassen. In diesem Beitrag wird erklärt wir man solche Monotoniebedingungen in R umsetzt. Der Beitrag Monotoniebedingungen in Machine Learning Modellen...continue reading.
It is June and nearly half of the year is over, marking the middle between Christmas 2018 and 2019. Last year in autumn, I’ve published a blog post about predicting...continue reading.
This was a thread on Twitter, and I thought should reach a different audience here too. If you wonder why … Morecontinue reading.
Machine learning models grow more powerful every week, but the earliest models and the most recent state-of-the-art models share the exact same dependency: data quality. The maxim “garbage in –...continue reading.
We are sharing a chalk talk rehearsal on applied probability. We use basic notions of probability theory to work through the estimation of sample size needed to reliably estimate event...continue reading.
Could you #BeatTheAI? We let deep learning have a go at Super Mario’s first level and compared it to human players. Here we explain how we did it! Der Beitrag...continue reading.
In my ongoing quest to track The Popularity of Data Science Software, I’ve just updated my analysis of the job market. To save you from reading the entire tome, I’m...continue reading.
The ability to explore and grasp data structures through quick and intuitive visualisation is a key skill of any data scientist. At PyConIE 2018, I presented a talk on the...continue reading.