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September 2020
Text and Web Mining
The Text Analytics and Web Mining course lasts for two days and gives an introduction to the analysis of unstructured data like text documents or web pages. The course covers the entire processing chain from the automated collection of unstructured data and storage in optimized databases to the automatic analysis of the content and presentation of the results.
Find out more »November 2020
Grundlagen und fortgeschrittene Themen für Analysten (Basics 1 & 2)
This training is offered by an external company and taught by us. It consists of both Basics 1 and Basics 2 and will most likely be in German.
Find out more »Basics 1 – Predictive Models and their Validation
In this practical training course, the basics necessary for carrying out a data science project will be taught. This includes a general overview of the entire subject area to allow participants to keep track. Participants will learn to classify a specific problem into basic classes of problems, prepare data accordingly, create, optimise and evaluate predictive models using machine learning and apply the models. In the training course, the free version of RapidMiner Studio will be used to give each participant…
Find out more »Basics 2 – Profiling and Complex Models
Building on the training course Basics 1, this practical training course teaches how to create data profiles for the training of predictive models and how to choose meaningful quality criteria depending on the problem at hand. The predictive models that are already familiar are then combined with technologies for feature selection in order to identify important influence factors in the profiles. Participants will learn to create and optimize complex analytical predictive models. In the training course, the free version of RapidMiner…
Find out more »Deployment – Predictive Analytics in Live Use
This course demonstrates what needs to be considered in the live use of data science and how the knowledge acquired in the basic training courses can be successfully integrated into existing business processes. All skills necessary for integrating data science technologies into fully automated business processes are taught and practised on RapidMiner Server. In order to monitor the fully automated deployment or, in a semi-automated scenario, to be able to provide an end user interface, participants learn about the possibilities…
Find out more »December 2020
Time Series Analysis
In this training course, participants learn what needs to be considered in the analysis and harnessing of time series based data. Almost all data sources have a time reference which needs to be taken into account in the analysis. This time reference can provide valuable information but can also give a false indication of correlations and must therefore always be kept in mind when creating predictive models. The course provides participants with the technologies to deal with time-referenced data and…
Find out more »February 2021
WebAppBuilder extension for RapidMiner – live introduction
Did you ever wish that you could show your customer the interface of the final product to have a better understanding of what they want? You can now easily build a web app with a few clicks to show how a result may look like directly in RapidMiner! Add to the tool kit of RapidMiner a strong tool to create modern, responsive, interactive web apps for deploying machine learning in a semi-automated scenario and for quick prototyping in agile projects.…
Find out more »September 2023
gat|wat 2023
Experts from the gas and water industry will meet in Cologne for the Practitioners' Days as part of the trade fair. The Praktiker Forum offers numerous practical presentations on the innovations in the regulations. Over 150 exhibitors will be showing the latest technology and services relating to network and plant operation on 10,000 m². At Booth B06 In Hall 7 we inform visitors about the first steps with Data Science, the successful implementation of AI projects and the new Data…
Find out more »October 2023
Introduction into Data Science
Part 1: What is Data Science? (10-11 a.m. including a break) Terms and Application Areas in AI Data Science is the science of learning from data. While humans have been learning for thousands of years, we are no longer alone in this endeavor. Machines are now also learning how to autonomously respond to changes in a defined environment. In this webinar, you will learn about the characteristics, similarities, and differences between human and machine-based data learning. Together, we will…
Find out more »Kick – Off for BETA-Test from AI2FIT
As a BETA tester, you have a direct influence on this powerful software and can contribute your development wishes. You will receive additional support and have the opportunity to use the software before it's available to everyone else. As a token of our appreciation for your cooperation, you will receive special offers related to support, transitioning from comparable systems, and installation in your IT environment. What to Expect in the Kick-Off? During the kick-off, we will present the most important…
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