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Category: Data Science

2023年10月7日
In Data Science

Concentration on the sphere – The curse of dimensionality

When people are going to do something, it is very important that they know the limits of that thing ahead of time. Machine learning methods may not work well with…

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2023年10月6日
In Data Science

Classification doesn’t exist – Ugly Duckling theorem

Descartes conducted thought experiments that thoroughly questioned things in order to establish the scientific method. Does what I am seeing really exist? Perhaps they do not exist when I am…

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2023年10月4日
In Data Science

How to use Clustering Quality Measures

In recent years, clustering quality measures have been calculated in cluster analysis, and many academic societies now require that papers include clustering quality measures as a criterion for adopting a…

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2023年9月29日
In Data Science

How to identify SOMs that should not be used

SOM is a well-known technique that can also be found in R and Python libraries. However, to be frank, most of those SOMs are poorly made and are the cause…

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Recent Posts

  • Epistemology vs Ontology: Why This Distinction Matters More Than Ever
  • Entered into AI governance-related business
  • A Unified Perspective on Cosmology, Causal Structure, Many-Worlds Interpretation, and Bayesian Networks
  • Data Science and Buddhism: From the “Ugly Duckling Theorem” to Emptiness, Provisionality, and the Middle Way
  • The Value of Human–AI Interfaces in the Age of AGI

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