Digital-Thinking
A Programmers Blog about Machine Learning and Webdevelopment
Data engineering is the link between data science and software engineering. Data engineers often work together with data scientists and analysts and help them to do their job efficiently. Moreover they are responsible for transforming models and prototypes built by…
In the last months I was working on a deep learning project. The goal was to dig into Tensorflow and deep learning in gerneral. For this purpose I re-implemented a paper from January 2016 called convolutional pose machines , which uses deep…
When talking about web application architecture today, everyone talks about microservices. It often seems like there is only one way to build up a web application, the microservices way. As we all know, there the truth is rarely absolute. While I was…
This post is about data structures and how they compare in performance, when considering the CPU Prefetch mechanism and other cache effects. It shows that LinkedLists are bad in the most cases and how to deal with variable sharing.
When i started to make use of Scala with Apache Spark, the first thing I thought about the language was “WTF is this?”. I just want to give you an very simple example: [crayon-59526168e28e6076723804/] For a C/C++/Java programmer this piece…
I found a very nice tool to define a API for RESTful Webservices, which is called Swagger. The reason why this tool is so cool, is that you define your web service in yaml, which is very intuitive and much…
I almost completed Nanodegree “Machine Learning Engineer” from Udacity and now its time for a first review. There are some positive and negative things to say, i don´t want to sugarcoat. I liked the projects and the reviewers and also some…
The Nanodegree program from Udacity offers some tech certificates, especially for programmers. One of them is called “Machine Learning Engineer” and with the github Student Developer Pack one month is free. So i decided to enroll this course in my semester break and…
Spark 2.0 data frames offer a very powerful way of accessing structured data in a SQL like way. But sometimes its hard to find the right build-in expression. So I would like to show some things, which is was dealing…
Spark 2.0 is now released. Time to move forward. After spending some time migrating the titanic project to the new version, it seems that Spark 2.0 does not change too much. Like said in the Spark Summit in San Francisco 2016…