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Webinars

We offer regular webinars on various topics related to Machine Learning

Recent webinars

Took place on November 25th, 2021

ML for Remote Sensing: Analyse satellite data automatically

We will give an overview of the different types of available satellite data, Machine Learning methods used for their evaluation, as well as practical use cases.

Jona Welsch

Machine Learning Project Lead

Details
Took place on October 14th, 2021

Real Added Value from ML Projects - Our Success Factors

In this webinar, we will share our experiences on the decisive factors that distinguish successful from failed ML projects.

Petar Tomov (PhD)

ML Project Manager

Philipp Jackmuth

Details
Took place on June 29th, 2021

NLP trend: profitably integrating neural language models into business practice

After an overview of how neural language models work and examples of their possible applications we will show things to be taken into account in order to use natural language models effectively in one's own business practice.

Konrad Mundinger

Machine Learning Scientist

Details
Took place on November 24th, 2020

Recurrent neural networks: How computers learn to read

The webinar will give an introduction to the functioning of RNNs and illustrate their use in an example project from the field of legal tech.

Fabian Gringel

Machine Learning Scientist

Details
Took place on October 27th, 2020

Automated answering of questions with neural networks: BERT

In this webinar we will present a method based on the BERT model for automated answering of questions.

Mattes Mollenhauer (PhD)

Machine Learning Scientist

Details
Took place on September 24th, 2020

Semantic search and understanding of natural text with neural networks: BERT

In this webinar you will get an introduction to the application of BERT for Semantic Search using a real case study: Every year millions of citizens interact with public authorities and are regularly overwhelmed by the technical language used there. We have successfully used BERT to deliver the right answer from government documents with the help of colloquial queries - without having to use technical terms in the queries.

Konrad Schultka (PhD)

Machine Learning Scientist

Jona Welsch

Machine Learning Project Lead

Details
Took place on May 28th, 2020

Labeling Tools - The second step on the way to the successful implementation of an NLP project

The success of an NLP project consists of a series of steps from data preparation to modeling and deployment. Since the input data are often scanned documents, the data preparation step initially involves the use of text recognition tools (OCR for short) and later on also the use of so-called labeling tools. In this webinar we will deal with the topic of selecting a suitable labeling tool.

Ewelina Fiebig

Machine Learning Scientist

Fabian Gringel

Machine Learning Scientist

Details
Took place on April 23rd, 2020

Text recognition (OCR) - The first step on the way to a successful implementation of an NLP project

In this talk we will deal with the topic of text recognition.

Ewelina Fiebig

Machine Learning Scientist

Fabian Gringel

Machine Learning Scientist

Details