Introduction to DevOps: Agile Development and Operations Hand in Hand

2017-11-28T15:42:10+00:00

Overall company performance is linked to the performance of the companies’ IT department and to the utilisation of DevOps practices. Let's have a look!

DevOps has been a subject of interest for quite a while now, although — at least in my opinion — it never got the mainstream adoption it should have. But maybe this c

Introduction to DevOps: Agile Development and Operations Hand in Hand 2017-11-28T15:42:10+00:00

OpenPGP: Create a New GnuPG Key (Part 1)

2019-01-16T14:10:40+00:00

This is the first part of the OpenPGP blog series. It briefly explains how to generate a new GnuPG key that can be used for encryption, signing and authentication. GnuPG is the open implementation of the OpenPGP standard defined in RFC 4880, allowing you to encrypt and sign data and to authenticate.

This is the first part of the OpenPGP blog series. It briefly explains how to generate a new GnuPG key that can be used for encryption, signing and authentication. <

OpenPGP: Create a New GnuPG Key (Part 1) 2019-01-16T14:10:40+00:00

Working efficiently with Jupyter Notebooks

2018-11-20T11:31:51+00:00

Being in the data science domain for quite some years, I have seen good Jupyter notebooks but also a lot of ugly ones. Follow these best practices to to work more efficiently with your notebooks and strike the perfect balance between text, code and visualisations.

If you have ever done something analytical or anything closely related to data science in Python, there is just no way you have not heard of or IPython or Jupyter not

Working efficiently with Jupyter Notebooks 2018-11-20T11:31:51+00:00

Rethinking Modern Data Warehouse with Azure Analysis Services

2018-11-07T10:27:38+00:00

Azure Analysis Services is able to consume data from a variety of sources including storages like Azure Blob Storage or Azure Data Lake Store. Here's how you lift our file-based data directly to Azure Analysis Services.

Before I got more familiar with Microsoft Azure and all its PaaS components such as Azure Analysis Services, I was routinely sticking to Microsoft’s on-premises BI st

Rethinking Modern Data Warehouse with Azure Analysis Services 2018-11-07T10:27:38+00:00

Neuroevolution: A Primer On Evolving Artificial Neural Networks

2018-10-25T09:28:13+00:00

In the last years, artificial neural networks (ANN) have successfully been applied across a number of tasks. However, designing well performing ANNs requires expert knowledge and experience. Neuroevolution aims at solving this difficult and often time-consuming process by using evolutionary techniques.

In the last years, artificial neural networks (ANN) have successfully been applied across a number of tasks, such as image classification, speech recognition and natu

Neuroevolution: A Primer On Evolving Artificial Neural Networks 2018-10-25T09:28:13+00:00

When Pepper met Android

2018-10-19T10:48:39+00:00

What's new with Pepper? It looks just the same. True. But you know, it's the inside that counts! As announced at the Google I/O 2016, and finally released end of June this year, Android is now powering Pepper, changing the way pepper is programmed in every way. Here are the changes.

Since its commercial launch about two years ago, Pepper the Robot has conquered so diverse spaces around the globe that a day passing by without Pepper in the press i

When Pepper met Android 2018-10-19T10:48:39+00:00

From Exploration to Production — Bridging the Deployment Gap for Deep Learning

2018-10-01T14:49:13+00:00

This article introduces EMNIST, we develop and train models with PyTorch, translate them with the Open Neural Network eXchange format ONNX and serve them through GraphPipe. We will orchestrate these technologies to solve the task of image classification using the more challenging and less popular EMNIST dataset.

This is the first part of a series of two blogposts on deep learning model exploration, translation, and deployment. Both involve many technologies like PyTorch, Tens

From Exploration to Production — Bridging the Deployment Gap for Deep Learning 2018-10-01T14:49:13+00:00

Neuroevolution: Scaling the Evolution of Artificial Neural Networks

2018-10-22T14:13:33+00:00

In this article we will look at the history of Neuroevolution and present state-of-the-art work that was performed by Google, Uber and other companies.

Neuroevolution describes the evolution of Artificial Neural Networks for problems in the domain of supervised or reinforcement learning. This article is the result of

Neuroevolution: Scaling the Evolution of Artificial Neural Networks 2018-10-22T14:13:33+00:00
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