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Data Science and Knowledge Discovery Using Machine Learning Methods

In: Machine Learning for Data Science Handbook

Author

Listed:
  • Oded Maimon

    (Tel-Aviv University, Department of Industrial Engineering)

  • Lior Rokach

    (Ben-Gurion University of the Negev, Department of Software and Information Systems Engineering)

  • Erez Shmueli

    (Tel-Aviv University, Department of Industrial Engineering)

Abstract

This introductory chapter aims to explain the KDD process and position machine learning within this process. Research and development challenges for the next generation of data science are also defined. The rationale, reasoning, and organization of the handbook are presented in this chapter for helping the reader to navigate the extremely rich and detailed content provided in this handbook.

Suggested Citation

  • Oded Maimon & Lior Rokach & Erez Shmueli, 2023. "Data Science and Knowledge Discovery Using Machine Learning Methods," Springer Books, in: Lior Rokach & Oded Maimon & Erez Shmueli (ed.), Machine Learning for Data Science Handbook, edition 0, pages 1-19, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-24628-9_1
    DOI: 10.1007/978-3-031-24628-9_1
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