Dynamika ludzkich opinii dla wykrywanie stresu przy użyciu uczenia maszynowego

Dynamika ludzkich opinii dla wykrywanie stresu przy użyciu uczenia maszynowego

Anita Goyal

61,51 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
ISBN:
9786208739812
61,51 €
IVA incluido
Disponible

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Sobre IBD

Książka ta bada przecięcie dynamiki ludzkich opinii i uczenia maszynowego w celu wykrywania stresu, przedstawiając kompleksowe ramy zrozumienia, w jaki sposób modele obliczeniowe mogą skutecznie analizować wzorce stresu psychologicznego. Zagłębia się w skomplikowany związek między ludzkimi emocjami, reakcjami behawioralnymi i technikami uczenia maszynowego, oferując solidne podejście do oceny zdrowia psychicznego zarówno w warunkach klinicznych, jak i nieklinicznych.Książka wprowadza podstawowe koncepcje dynamiki ludzkich opinii, wyjaśniając, w jaki sposób opinie, emocje i stany psychologiczne ewoluują w środowiskach społecznych i cyfrowych. Integrując te koncepcje z najnowocześniejszymi algorytmami uczenia maszynowego, zapewnia wgląd w to, jak można wykrywać, monitorować i przewidywać poziomy stresu za pomocą metod obliczeniowych. Badane są różne nadzorowane, nienadzorowane i głębokie techniki uczenia się, aby podkreślić ich potencjał w analizie fizjologicznych i psychologicznych markerów stresu.

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