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Operations Research for Social Good - Natalia Summerville - Bog

Bag om Operations Research for Social Good

Advance your knowledge of operations research and social good! Recent technological developments allow data analytics practitioners to solve large problems better and faster with state-of-the-art artificial intelligence (AI) tools. At the same time, humanity faces overarching challenges such as the climate crisis, child malnutrition, systemic racism, and global pandemics, among others. Operations Research for Social Good: A Practitioner's Introduction Using SAS and Python showcases operations research (OR) methodologies typically required in engineering curricula to applications targeted to make this world a better place. Designed for data scientists, analytics and operations research practitioners, and graduate-level students interested in learning optimization modeling with applied use cases, this book provides the skills to model and solve OR problems with both SAS and Python as well as practical tools and tips to bridge the gap between academic learning and real-world implementations based on Data4Good initiatives.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781955977838
  • Indbinding:
  • Paperback
  • Sideantal:
  • 158
  • Udgivet:
  • 12. oktober 2023
  • Størrelse:
  • 191x9x235 mm.
  • Vægt:
  • 281 g.
  • 2-3 uger.
  • 12. december 2024
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  • BLACK WEEK

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Operations Research for Social Good

Advance your knowledge of operations research and social good! Recent technological developments allow data analytics practitioners to solve large problems better and faster with state-of-the-art artificial intelligence (AI) tools. At the same time, humanity faces overarching challenges such as the climate crisis, child malnutrition, systemic racism, and global pandemics, among others. Operations Research for Social Good: A Practitioner's Introduction Using SAS and Python showcases operations research (OR) methodologies typically required in engineering curricula to applications targeted to make this world a better place. Designed for data scientists, analytics and operations research practitioners, and graduate-level students interested in learning optimization modeling with applied use cases, this book provides the skills to model and solve OR problems with both SAS and Python as well as practical tools and tips to bridge the gap between academic learning and real-world implementations based on Data4Good initiatives.

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