Machine Learning for Intelligent Decision Science

Machine Learning for Intelligent Decision Science
  • eBook:
    Machine Learning for Intelligent Decision Science
  • Author:
    Jitendra Kumar Rout, Minakhi Rout, Himansu Das
  • Edition:
    1st ed. 2020 Edition
  • Categories:
  • Data:
    April 3, 2020
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    221 pages
  • Format:

Book Description
The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners and educators, the book covers a range of topics relating to intelligent systems for decision science, and examines recent innovations, trends, and practical challenges in the field. The book is a valuable resource for academics, students, researchers and professionals wanting to gain insights into decision-making.


1. Development of Different Machine Learning Ensemble Classifier for Gully Erosion Susceptibility in Gandheswari Watershed of West Bengal, India
2. Classification of ECG Heartbeat Using Deep Convolutional Neural Network
3. Breast Cancer Identification and Diagnosis Techniques
4. Energy-Efficient Resource Allocation in Data Centers Using a Hybrid Evolutionary Algorithm
5. Root-Cause Analysis Using Ensemble Model for Intelligent Decision-Making
6. Spider Monkey Optimization Algorithm in Data Science: A Quantifiable Objective Study
7. Multi-agent-Based Systems in Machine Learning and Its Practical Case Studies
8. Computer Vision and Machine Learning Approach for Malaria Diagnosis in Thin Blood Smears from Microscopic Blood Images

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