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Data Science and Machine Learning for Non-Programmers : Using SAS Enterprise Miner

Truong, Dothang

Forventes utgitt

Forventes utgitt: 01.01.2026

Leveringstid: 3-10 dager

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Beskrivelse

Omtale

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize machine learning effectively. Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders. Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers, and industry professionals from various backgrounds.

  • ISBN/Varenr:

    9780367751968

  • Språk:

    Engelsk

  • Forlag:

    Chapman & Hall/CRC

  • Innbinding:

    Heftet

  • Fagtema:

    Matematikk og naturvitenskap

  • Serie:

    Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

  • Litteraturtype:

    Faglitteratur

  • Sider:

    577

  • Høyde:

    25.4 cm

  • Bredde:

    17.8 cm

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