AI Introduction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F24%3A43926443" target="_blank" >RIV/62156489:43110/24:43926443 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

AI Introduction

Popis výsledku v původním jazyce

The publication provides a comprehensive overview of the fundamentals of artificial intelligence, including its definition, structure, and various perspectives such as the Turing test and the typology of AI systems. It further focuses on machine learning, covering classification, regression, learning processes, and evaluation metrics. The reader is introduced to basic machine learning algorithms, such as k-nearest neighbors and the naïve Bayes classifier. The final chapters explore the principles and functioning of neural networks, including a detailed description of artificial neurons, input processing, and output generation. This publication serves as an introductory study material for students and professionals who wish to become familiar with the key concepts and techniques in the field of artificial intelligence.

Název v anglickém jazyce

AI Introduction

Popis výsledku anglicky

The publication provides a comprehensive overview of the fundamentals of artificial intelligence, including its definition, structure, and various perspectives such as the Turing test and the typology of AI systems. It further focuses on machine learning, covering classification, regression, learning processes, and evaluation metrics. The reader is introduced to basic machine learning algorithms, such as k-nearest neighbors and the naïve Bayes classifier. The final chapters explore the principles and functioning of neural networks, including a detailed description of artificial neurons, input processing, and output generation. This publication serves as an introductory study material for students and professionals who wish to become familiar with the key concepts and techniques in the field of artificial intelligence.

Druh

B - Odborná kniha

CEP obor

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OECD FORD obor

20202 - Communication engineering and systems

Projekt

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Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

978-80-558-2224-2

Počet stran knihy

342

Název nakladatele

Univerzita Konštantína Filozofa v Nitre

Místo vydání

Nitra

Kód UT WoS knihy

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