Practical example of Training a Neural Network in the AWS cloud with Docker

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 CIFAR-10 images within a Docker container on AWS... Read more 23 Apr 2019 - 13 minute read

Make A Living in Data Science and Not Trading Time for Money

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 model and you don’t want to trade time for money. I te... Read more 14 Apr 2019 - 3 minute read

Example Use Cases of Docker in the Data Science Process

...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, libraries are having the wrong version (“dependency ... Read more 04 Apr 2019 - 8 minute read

Image aesthetics quantification with a convolutional neural network (CNN)

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 therefore a significant influence on our product purchasin... Read more 20 Mar 2019 - 18 minute read

10 Lessons Learned from Scraping Websites

Valuable insights which I gained from retrieving data from many websites over the last years which I want to share with you

“Data is the new oil. It’s valuable, but if unrefined it cannot really be used. It has to be changed into gas, plastic, chemicals, etc. to create a valuable entity that drives profitable activity; so must data be broken down, analysed for it to have value.” - Clive Humby A frequent criticism of Kaggle and MOOC (Massive Open Online Courses) ... Read more 19 Feb 2019 - 8 minute read