Data analytics: models and algorithms for intelligent data analysis
Thomas A. Runkler (Springer, 2012)
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| This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. Much of the content is based on the results of industrial research and development projects at Siemens. |
 Data Analytics.pdf :: Unduh
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| No. Panggil : | e20406681 |
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| Penerbitan : | Wiesbaden: Springer, 2012 |
| Sumber Pengatalogan: | LibUI eng rda |
| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
| Deskripsi Fisik: | |
| Tautan: | http://link.springer.com/book/10.1007%2F978-3-8348-2589-6 |
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| No. Panggil | No. Barkod | Ketersediaan |
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| e20406681 | TERSEDIA |
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| Tidak ada ulasan pada koleksi ini: 20406681 |
