000			03389nam a22004575i 4500
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008			220401s2022 sz | s |||| 0|eng d
020			_a9783030943790
024	7		_a10.1007/978-3-030-94379-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ325.5 _b2022 EB
100	1		_aApolloni, Bruno, _d1946- _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9684603
245	1	2	_aA Few Things I Know About Her : _bA Personally Machine Learning Inspired Approach to Understand Surrounding Nature _cby Bruno Apolloni
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XV, 198 páginas) _b133 ilustraciones, 105 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aIntelligent Systems Reference Library _x1868-4408 _v219
505	0		_aGenome + synapses -- What I can understand, what I can't -- Data first -- How to tackle difficult to understand phenomena. Fuzziness, cognitivity, memory.
520			_aThis 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.
988			_aSpringer_Robotics_2022
650		7	_2embne _9166090 _aAprendizaje automático
650		7	_2embne _9678664 _aRedes neuronales artificiales
650		7	_2embne _aInteligencia artificial _9413115
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030943783
776	0	8	_iPrinted edition: _z9783030943806
776	0	8	_iPrinted edition: _z9783030943813
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-94379-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2022 _dz _esc _zSI