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Autor(en): 
  • Conor Williams
  • Pattern Recognition and Machine Learning: Exploring the Power of Data Analysis and Prediction through Cutting-Edge Technology 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2023  
    Genre:  EDV / Informatik 
    ISBN:  9798223755678 
    EAN-Code: 
    9798223755678 
    Verlag:  BNC Books 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 280 mm / B 216 mm / D 6 mm 
    Gewicht:  295 gr 
    Seiten:  108 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    "Pattern Recognition: Exploring the Power of Data Analysis and Prediction through Cutting-Edge Technology" is a comprehensive guide to the field of pattern recognition, written by a team of experts in the field. The book covers the fundamentals of data analysis and statistical inference before delving into the theory and application of pattern recognition techniques. The authors explore a variety of methods, including statistical pattern recognition, machine learning, and deep learning, and provide practical examples of their use in computer vision, speech recognition, natural language processing, bioinformatics, finance, robotics, and automation. Readers will learn about template matching, Fourier analysis and wavelets, feature extraction and selection, object recognition, image segmentation, texture analysis, and more. The book also covers supervised and unsupervised learning techniques, including linear regression and classification, decision trees, support vector machines, and clustering algorithms. The author discuss the potential impact of quantum computing on pattern recognition, as well as ethical considerations in the field. With its accessible writing style and detailed examples, "Pattern Recognition: Exploring the Power of Data Analysis and Prediction through Cutting-Edge Technology" is an essential resource for students, researchers, and practitioners interested in data analysis, machine learning, and artificial intelligence.

      
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