Applied data analytics : principles and applications / / Johnson I. Agbinya
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| Autore: |
Agbinya Johnson I.
|
| Titolo: |
Applied data analytics : principles and applications / / Johnson I. Agbinya
|
| Pubblicazione: | Gistrup, Denmark : , : River Publishers, , [2020] |
| ©2020 | |
| Edizione: | 1st ed. |
| Descrizione fisica: | 1 online resource (370 pages) |
| Disciplina: | 005.7 |
| Soggetto topico: | Big data |
| Data mining | |
| Quantitative research | |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Sommario/riassunto: | This text provides some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and visualization systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations and applications. The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evo. |
| Titolo autorizzato: | Applied data analytics |
| ISBN: | 1-000-79221-8 |
| 1-00-333722-8 | |
| 1-003-33722-8 | |
| 1-000-79553-5 | |
| 1-5231-3892-0 | |
| 87-7022-095-6 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910824899803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
River Publishers series in signal, image and speech processing.