data.blog - Facts about Data Science & Artificial Intelligence
How to deal with missing values
Methods of imputation and when to use them Why missing values should interest us In our work as Data Scientists we often work with time series data and applications for forecasts (=forecasting). As with all "classic"...
The Effect of Corrupt Labels on Computer Vision Performance
An Empirical Study with High Relevance in Medical AI Applications Find all data of this study here. Abstract Whether it's X-rays of lungs or images of the eyeball - medical data sets are never perfect. A small number of misdiagnoses are often accompanied by a much...
![10 years [at] - The Magazine](https://www.alexanderthamm.com/wp-content/uploads/MicrosoftTeams-image-85-400x250.png)
10 years [at] - The Magazine
The Data Journey of Alexander Thamm GmbH from 2012 -2022 10 years of [at] - that calls for a celebration! In 2012, Alexander Thamm founded the company of the same name with three colleagues - 10 years and 1,500 data and AI projects later, [at] counts around 300 employees and...
Top 10 Data Catalogues
If you have data, you also have data about data. This so-called metadata should also be collected, structured and stored. But why? We show the top 10 data catalogues with which this metadata can be collected, managed and effectively distributed within a company as part of a data strategy.
The EU AI Act - innovation driver or brake?
With the EU AI Act, artificial intelligence and AI governance are moving more strongly than ever into the focus of political and economic decision-makers in Europe. In April 2021, as part of the EU AI Strategy, the EU Commission presented a draft of the Artificial...
Edge computing: definition, application examples, advantages & disadvantages
What is Edge Computing? Edge computing is decentralised data processing that takes place at the edge of the network. The data collected by sensors is filtered, compressed and transmitted directly on or in the end device. Through...
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