Sound business practices for data mining and predictive analysis:
This course addresses the application of data mining and diagnostic analytics to measure business performance. It builds upon these business performance measurements to achieve advanced insights with predictive and perspective analytics. It examines common techniques that can be used to measure the...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch Video |
| Sprache: | English |
| Veröffentlicht: |
Piscataway, N.J.
IEEE Communications Society
2021
|
| Schlagworte: | |
| Online-Zugang: | TUM01 URL des Erstveröffentlichers |
| Zusammenfassung: | This course addresses the application of data mining and diagnostic analytics to measure business performance. It builds upon these business performance measurements to achieve advanced insights with predictive and perspective analytics. It examines common techniques that can be used to measure the efficacy of machine learning integrations for business processes and reviews a real-world business case study in leveraging machine learning, advanced analytics, and process automation for reducing business operations costs |
| Beschreibung: | "Machine learning : predictive analysis for business decisions |
| Beschreibung: | 1 Online-Ressource (1 Video-Datei, 34 Minuten) |
| ISBN: | 9781538686072 1538686074 |
Internformat
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Datensatz im Suchindex
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| isbn | 9781538686072 1538686074 |
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| spelling | Scott, Grant Verfasser aut Sound business practices for data mining and predictive analysis Grant Scott Piscataway, N.J. IEEE Communications Society 2021 1 Online-Ressource (1 Video-Datei, 34 Minuten) tdi rdacontent c rdamedia cr rdacarrier "Machine learning : predictive analysis for business decisions This course addresses the application of data mining and diagnostic analytics to measure business performance. It builds upon these business performance measurements to achieve advanced insights with predictive and perspective analytics. It examines common techniques that can be used to measure the efficacy of machine learning integrations for business processes and reviews a real-world business case study in leveraging machine learning, advanced analytics, and process automation for reducing business operations costs Data mining / fast / (OCoLC)fst00887946 Machine learning / fast / (OCoLC)fst01004795 Predictive analytics / fast / (OCoLC)fst02021979 Data mining Predictive analytics Machine learning (DE-588)4017102-4 Film gnd-content https://ieeexplore.ieee.org/servlet/opac?mdnumber=EW1592 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Scott, Grant Sound business practices for data mining and predictive analysis Data mining / fast / (OCoLC)fst00887946 Machine learning / fast / (OCoLC)fst01004795 Predictive analytics / fast / (OCoLC)fst02021979 Data mining Predictive analytics Machine learning |
| subject_GND | (DE-588)4017102-4 |
| title | Sound business practices for data mining and predictive analysis |
| title_auth | Sound business practices for data mining and predictive analysis |
| title_exact_search | Sound business practices for data mining and predictive analysis |
| title_exact_search_txtP | Sound business practices for data mining and predictive analysis |
| title_full | Sound business practices for data mining and predictive analysis Grant Scott |
| title_fullStr | Sound business practices for data mining and predictive analysis Grant Scott |
| title_full_unstemmed | Sound business practices for data mining and predictive analysis Grant Scott |
| title_short | Sound business practices for data mining and predictive analysis |
| title_sort | sound business practices for data mining and predictive analysis |
| topic | Data mining / fast / (OCoLC)fst00887946 Machine learning / fast / (OCoLC)fst01004795 Predictive analytics / fast / (OCoLC)fst02021979 Data mining Predictive analytics Machine learning |
| topic_facet | Data mining / fast / (OCoLC)fst00887946 Machine learning / fast / (OCoLC)fst01004795 Predictive analytics / fast / (OCoLC)fst02021979 Data mining Predictive analytics Machine learning Film |
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