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AI Introduction

The result's identifiers

  • Result code in 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>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    AI Introduction

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    B - Specialist book

  • CEP classification

  • OECD FORD branch

    20202 - Communication engineering and systems

Result continuities

  • Project

  • Continuities

    O - Projekt operacniho programu

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • ISBN

    978-80-558-2224-2

  • Number of pages

    342

  • Publisher name

    Univerzita Konštantína Filozofa v Nitre

  • Place of publication

    Nitra

  • UT code for WoS book