Breakthrough In Applied Machine Learning

Authors

Nor Erne Nazira Bazin (ed)
Zuriahati Mohd Yunos (ed)

Synopsis

Breakthrough In Applied Machine Learning explores how machine learning is making a real difference beyond academic circles, tackling important challenges across healthcare, logistics, agriculture, and public safety. Rather than getting lost in the complexities of algorithms, this book focuses on how theoretical concepts can be transformed into practical solutions that deliver tangible results. Each chapter combines insights from research and industry, supported by real-world case studies that illustrate how both traditional machine learning methods, such as decision trees and support vector machines and newer approaches, such as deep learning and transfer learning, are used to address pressing issues. Examples include predicting heart disease, forecasting demand, analysing crime patterns, reducing child malnutrition, and boosting agricultural productivity. This approach helps bridge the gap between theory and practice, demonstrating how machine learning can truly improve our world. This book is a great resource for students, researchers, and professionals looking to gain a practical understanding of machine learning. It breaks down the concepts and shows how they can be applied in the real world, making it easier to understand and put into practice.

Chapters

  • CHAPTER 1
    THE EVOLUTION AND FOUNDATIONS OF MACHINE LEARNING
    Nor Erne Nazira Bazin, Zuriahati Mohd Yunos
    CHAPTER 1
  • CHAPTER 2
    PRACTICAL APPLICATIONS OF MACHINE LEARNING
    Nor Erne Nazira Bazin, Zuriahati Mohd Yunos
    CHAPTER 2
  • CHAPTER 3
    COMPARING MACHINE LEARNING FOR HEART DISEASE PREDICTION
    Ahmad Firdaus Zainal Abidin, Aiman Safwan Sulaiman, Mohd Faaizie Darmawan, Mohd Zamri Osman
    CHAPTER 3
  • CHAPTER 4
    COMPARING MACHINE LEARNING METHODS FOR DEMAND FORECASTING
    Azlan Mohd Zain, Gan Jian Yong, Noorfa Haszlinna Mustaffa
    CHAPTER 4
  • CHAPTER 5
    SVM-UMAP FOR CHILD MALNUTRITION PREDICTION ANALYSIS
    Habibollah Haron, Joynal Abdin, Mohamad Shukor Talib, Suhaila Mohamad Yusuf
    CHAPTER 5
  • CHAPTER 6
    CRIME MAPPING AND PREDICTION
    Dinesh Naidu Krishnan, Haswadi Hassan, Nor Azizah Ali, Nor Haizan Mohamed Radzi
    CHAPTER 6
  • CHAPTER 7
    TRANSFER LEARNING FOR AUTOMATED MEDICINAL PLANT CLASSIFICATION
    Dewi Nasien, M. Hasmil Adiya, Rio Juan Hendri Butar-Butar, Zuriahati Mohd Yunos
    CHAPTER 7

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Published

16 December 2025
Copyright (c) 2025 Nor Erne Nazira Bazin and Zuriahati Mohd Yunos

Details about the available publication format: ISBN

ISBN

Co-publisher's ISBN-13 (24)

978-983-52-2192-7