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Applying predictive analytics: finding value in data

Richard V. McCarthy, Mary M. McCarthy, Wendy Ceccucci, Leila Halawi (Springer Nature, 2019)

 Abstrak

This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized and explained within the context of enhancing business opportunities. Each chapter includes an opening vignette that provides real-life example of how business analytics have been used in various aspects of organizations to solve issue or improve their results. A running case provides an example of a how to build and analyze a complex analytics model and utilize it to predict future outcomes.

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 Metadata

Jenis Koleksi : eBooks
No. Panggil : e20506489
Entri tambahan-Nama orang :
Subjek :
Penerbitan : Switzerland: Springer Nature, 2019
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik: x, 205 pages : illustration
Tautan: https://doi.org/10.1007/978-3-030-14038-0
Lembaga Pemilik:
Lokasi:
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No. Panggil No. Barkod Ketersediaan
e20506489 02-20-362541849 TERSEDIA
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