Dimensionality Reduction with Principal Component Analysis
Analytics
21.11.2022
This article takes a look at principal component analysis (PCA). In the course of the article, we
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Abstract:
In 2010 ImageNet finally ended the AI winter and gave machines the sense of sight. Within the following years dramatic improvements in tasks such as image classification and object detection lead to innovations like face ID and autonomous driving. Recently, similar developments happened in the field of natural language. Using Attention mechanism and transformers tasks such as question answering and text summarization reached new benchmarks.
This talk will not only explain those, but point out how Transfer Learning and open source models such as Google Bert will open the field to new innovations in AI.
Event: AIxIA
Datum: 01.10.2019
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Jörg Ruckelshauß
Head of Marketing & Communications
Investigating Active Curriculum Learning
Analytics
09.11.2022
Today, deep neural networks achieve state-of-the-art performances on a variety of different natural language processing (NLP) tasks.
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A Conceptual Look at the Machine Learning Life Cycle
Analytics
19.09.2022
This article sheds light on the question of why machine learning products mostly do not get into
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