Representation Learning As A Scientific Key II: Data
In the analysis of scientific data with machine learning and especially deep learning, the question of representations, the right model and the discrepancy b...
Posts by Category
methods
Representation Learning As A Scientific Key I
One of the challenges of the future will be to make AI/ML more accessible and interpretable for domain experts. The success of the method so far has been the...
The World Does Not Only Consist Of MNIST Data I
In the field of empirical data it often happens that the measurements contain errors. In the case of a learning algorithm, such as deep neural networks, it c...
Model Assesment and Ensemble Techniques I
What Is Generalization ? Most of the models that have a direct application in current research in the natural sciences can be said to be roughly divided into...
data
Input/Output Data To Your ML Projects In Python
Long Term Storage!
Representation Learning As A Scientific Key II: Data
In the analysis of scientific data with machine learning and especially deep learning, the question of representations, the right model and the discrepancy b...
miscellaneous
Why do I make such a blog?
For most of the posts I have students as addressees in mind, who work together with me on the projects around my current job at the ProDi in Bochum, Germany....
literature
Curated book list for all interested people who work with me.
In many situations I will discuss different paper with students, that recently around in our, or a related field. In order to create a common ground, I have ...
spectroscopy
Representation Learning As A Scientific Key II: Data
In the analysis of scientific data with machine learning and especially deep learning, the question of representations, the right model and the discrepancy b...