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Practical machine learning : a beginner's guide with ethical insights / Ally S. Nyamawe, Mohamedi M. Mjahidi, Noe E. Nnko, Salim A. Diwani, Godbless G. Minja, and Kulwa Malyango.

By: Contributor(s): Publisher: Boca Raton, FL : CRC Press/Taylor & Francis Group, 2025Copyright date: 2025 Boca Raton, FL : CRC Press/Taylor & Francis Group,Description: xii, 213 pages illustrations (some color) 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781032770291
Subject(s): Additional physical formats: Practical machine learningDDC classification:
  • 006.3/1 23/eng/20241119
LOC classification:
  • Q 325.5 .N93
Contents:
Fundamentals of machine learning -- Mathematics for machine learning -- Data preparation -- Machine learning operations -- Machine learning software and hardware requirements -- Responsible AI and explainable AI -- Artificial general intelligence -- Machine learning step-by-step practical examples.
Summary: "The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. This is a core resource for students and instructors of machine learning and data science looking for beginner-friendly material which offers real-world applications and takes ethical discussions into account"-- Provided by publisher.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books NILE UNIVERSITY OF NIGERIA - MAIN LIBRARY Q 325.5 .N93 2025 (Browse shelf(Opens below)) Available 0199365
Books Books NILE UNIVERSITY OF NIGERIA - MAIN LIBRARY Q 325.5 .N93 2025 (Browse shelf(Opens below)) Available 0199366
Total holds: 0

Includes bibliographical references and index.

Fundamentals of machine learning -- Mathematics for machine learning -- Data preparation -- Machine learning operations -- Machine learning software and hardware requirements -- Responsible AI and explainable AI -- Artificial general intelligence -- Machine learning step-by-step practical examples.

"The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. This is a core resource for students and instructors of machine learning and data science looking for beginner-friendly material which offers real-world applications and takes ethical discussions into account"-- Provided by publisher.

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