SDLC steht für Software Development Lifecycle (dt. Software-Lebenszyklus). Ein SDLC ist im Wesentlichen eine Reihe von Schritten oder Phasen, die einen Rahmen für die Entwicklung von Software und deren Verwaltung über den gesamten Lebenszyklus bieten. Obwohl es nicht nur eine Technik oder Möglichkeit gibt, Anwendungen und Softwarekomponenten zu entwickeln, gibt es etablierte Methoden, die von [...]
A typical Machine Learning (ML) problem is about prediction such as in Forecasting for data-driven decision making or Credit Risk Analysis Using Machine Learning. If the predicted value is a real number, we use regression. For discrete labels (like TRUE and FALSE or WARM and COLD) we use classification. In order to train a machine […]
This guide shows the use of the HashiCorp Vault with Spring Boot and works on two separate docker containers that communicate secure.
Approving loans without proper scientific evaluation increases the risk of default. This can lead to bankruptcy of lending agencies and consequently the destabilization of the banking system. This is what happened in the 2008 financial crisis which affected the world economy adversely. Three components decide the amount of loss that a firm faces as a […]
Dr. Dibyajyoti Dutta
Transforming raw text into applicable business insights for data-driven decision making is not a trivial task. Following the Natural Language Processing (NLP) breakthrough of a Google research team on Word Embeddings, words or even sentences are efficiently represented as vectors (please refer to Mikolov et al., 2013a, and Mikolov et al., 2013b).Given these vectors, unstructured […]
In the last years technologies such as data science, artificial intelligence and predictive analytics have become increasingly popular. The academic field behind these technologies is called machine learning. The core idea is that the computer (the machine) learns autonomously from data and generates business insights and leads to data-driven decision making. In this article we […]
Accurate forecasts are key components of successful data-driven businesses.We may forecast the need for internal ressources (e.g. call center staffing), key metrics that drive other business decisions (e.g. electricity demand to decide on constructing a new power plant), or customer demand for products we distribute (retail demand forecasting). Time horizons of our forecasts may differ […]
Dr. Georg Walther
In order to better understand your data and come up with useful hypotheses, data visualization is a crucial part of every data science project. It is part of a process referred to as exploratory data analysis or EDA. In this blog article we will show how we can generate insights from data manipulation and visualization. […]
Dr. Georg Walther
In the last years technologies like data science, artificial intelligence and predictive analytics have become increasingly popular. There are several applications of these technologies which include targeted marketing, churn prediction or sales prediction.The academic field behind these technologies is called “machine learning”. The core idea is that the computer (“machine”) learns autonomously from data and […]
This guide shows you how to sync your git repository hosted on a Gitlab CE instance to another git repository (doesn't have to be gitlab).
In the previous guides of this series, we have seen how to set up auto deployment and to auto publish documentation. As last step for a transparent project, we want to show the user the reached test coverage.
Having OpenShift on a local machine can be a pleasure for developers. However, the setup using MS Windows can be hard. This guide helps you to bypass common pitfalls.
This guide shows you how to generate and publish html-documentation for your project automatically in GitLab.