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Artificial Intelligence for Engineers : Basics and Implementations / / by Zhen "Leo" Liu



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Autore: Liu Zhen (Leo) Visualizza persona
Titolo: Artificial Intelligence for Engineers : Basics and Implementations / / by Zhen "Leo" Liu Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (719 pages)
Disciplina: 621.3815
Soggetto topico: Electronic circuit design
Computational intelligence
Machine learning
Electronics Design and Verification
Computational Intelligence
Machine Learning
Nota di contenuto: Preparation Knowledge: Basics of AI -- Tools for Artificial Intelligence -- Linear Models -- Decision Trees -- Support Vector Machine -- Bayesian Algorithms -- Artificial Neural Network -- Deep Learning -- Ensemble Learning -- Clustering -- Dimension Reduction -- Anomaly Detection -- Association Rule Leaming -- Basics of and Value-Based Reinforcement Learning -- Policy-Based Reinforcement Learning.
Sommario/riassunto: This textbook presents basic knowledge and essential toolsets needed for people who want to step into artificial intelligence (AI). The book is especially suitable for those college students, graduate students, instructors, and IT hobbyists who have an engineering mindset. That is, it serves the idea of getting the job done quickly and neatly with an adequate understanding of why and how. It is designed to allow one to obtain a big picture for both AI and essential AI topics within the shortest amount of time. Designed for a typical undergraduate, graduate, or dual-listed course with a semester-based calendar; Puts theory in context, so readers gain knowledge about the most essential concepts and algorithms; Covers essential terms, algorithms, and useful tools for learning and performing contemporary AI. Extra information is available at AI-engineer.org.
Titolo autorizzato: Artificial Intelligence for Engineers  Visualizza cluster
ISBN: 9783031759536
3031759532
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910983305303321
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