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General ML-topics

Some general comments and opinions regarding ML

The Meaning of Object Features in different ML-Contexts

When I gave a few introductory courses on basic Machine Learning [ML] algorithms in 2022, I sometimes ran into a discussion about “features“. The discussions were not only triggered by my personal definition, but also by some introductory books on ML the attendants had read. Across such textbooks, but even in a single book on ML the authors have a tendency to use the term “features” in different contexts of ML-algorithms and in particular Artificial Neural Networks [ANN]. Unfortunately, the meaning of the term is… Read More »The Meaning of Object Features in different ML-Contexts

Criteria for ML capable graphic cards: Amount of VRAM or raw GPU power?

Some of my readers may be interested in having a private environment to study Machine Learning [ML] techniques and perform experiments with complex Neural Network algorithms. I do not talk about AI professionals, but about people (as myself) who are students or privately interested in ML-techniques. And about people who have a limited budget for their AI and ML interests. Even if you are not a professional you sooner or later may find that a new and better suited graphics card is required for your… Read More »Criteria for ML capable graphic cards: Amount of VRAM or raw GPU power?

A blog on experiences with Machine Learning experiments

This blog covers some basics, experiments and related math in the field of Machine Learning [ML]. It is a personal blog and not an ordered book. Contents comes with numerical experiments I had some fun with. I write in general about experiments which one can perform on a medium equipped Linux PC. Meaning: This blog will mainly cover conventional experiments which can e.g. be done with Scikit-Learn and Neural Networks with a rather limited number of layers. Still, I think that one can learn quite… Read More »A blog on experiences with Machine Learning experiments