This book reconsiders key issues, such as description and explanation,
which affect data analytics. For starters: the soul does not exist.
Once released from this cumbersome roommate, we are left with complex
biological systems: namely, ourselves, who must configure their
environment in terms of worlds that are compatible with what they
sense. Far from supplying yet another cosmogony, the book provides the
cultivated reader with computational tools for describing and
understanding data arising from his surroundings, such as climate
parameters or stock market trends, even the win/defeat story of his
son football team. Besides the superposition of the very many
universes considered by quantum mechanics, we aim to manage families
of worlds that may have generated those data through the key feature
of their compatibility. Starting from a sharp engineering of ourselves
in term of pairs consisting of genome plus a neuron ensemble, we toss
this feature in different cognitive frameworks within a span of
exploitations ranging from probability distributions to the latest
implementations of machine learning. From the perspective of human
society as an ensemble of the above pairs, the book also provides
scientific tools for analyzing the benefits and drawbacks of the
modern paradigm of the world as a service.
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A Personally Machine Learning Inspired Approach to Understand Surrounding Nature
Product details
ISBN
9783030943790
Published
2022
Publisher
Springer Nature
Language
Product language
Engelsk
Format
Product format
Digital bok
Author