June 26, 2019 · 2 minute read
First and foremost: Do not fall into the trap of doing product development for months for a product nobody wants . Know your customers and know where they are hanging around from day 1. Follow these steps: 1. Answer the question: Who are your customers, and where are they? You need to identify your… Read more
April 23, 2019 · 14 minute read
How to train a shallow neural network on top of an InceptionV3 model on CIFAR-10 within Docker on an AWS GPU-instance
My last article Example Use Cases of Docker in the Data Science Process was about Docker in Data Science in general. This time I want to get my hands dirty with a practical example. In this case study, I want to show you how to train a shallow neural network on top of a deep InceptionV3 model on… Read more
April 14, 2019 · 3 minute read
5 product ideas for Single Person Entrepreneurs
You made yourself a plan. You want to make a living in Data Science. Well, why aren’t you applying for a data science job then? There are tons of them right now, as we all know data science is hot right now. You tell me that you want to create a valuable, repeatable and scalable business… Read more
April 4, 2019 · 8 minute read
...or how to avoid the It-works-on-my-computer-but-nowhere-else-problem
The excellent comic by Jeff Lofvers illustrates what you often face in software development but also in data science. You are preparing a data analysis or predictive model, but when you want to share it, then it does not work on someone else machine. It fails, because libraries are missing,… Read more
March 20, 2019 · 18 minute read
Project report for training a MobileNetV1 based convolutional neural network (CNN) with only 14,000 images with transfer learning
I. Definition Project Overview The “A picture is worth a thousand words” stresses how important images are in the modern world. The quality of images, e.g. influences our decisions in different domains. Especially in eCommerce, where we cannot touch things they are essential. They have… Read more