mda-misu.de bewertung und analyse

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Title Summer School Machine Learning and Data Analytics in Finance and Accounting University of Munich
Description Summer School - Machine Learning and Data Analytics in Finance and Accounting Machine Learning and Data Analytics in Finance and Accounting. Summer School for international students at Ludwigs-Maximilians-University, Munich,
Keywords N/A
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WebSite mda-misu faviconmda-misu.de
Host IP 81.169.217.145
Location Germany
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mda-misu.de bewertung
Euro1,102
Zuletzt aktualisiert: 2022-07-25 11:26:20

mda-misu.de hat Semrush globalen Rang von 33,709,533. mda-misu.de hat einen geschätzten Wert von € 1,102, basierend auf seinen geschätzten Werbeeinnahmen. mda-misu.de empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in Germany mit der IP-Adresse 81.169.217.145. Laut SiteAdvisor ist mda-misu.de sicher zu besuchen.

Verkehr & Wertschätzungen
Kauf-/Verkaufswert Euro€1,102
Tägliche Werbeeinnahmen Euro€23,693
Monatlicher Anzeigenumsatz Euro€8,265
Jährliche Werbeeinnahmen Euro€551
Tägliche eindeutige Besucher 551
Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen.
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Host Type TTL Data
mda-misu.de. A 3599 IP: 81.169.217.145
mda-misu.de. NS 3600 NS Record: ns81.domaincontrol.com.
mda-misu.de. NS 3600 NS Record: ns82.domaincontrol.com.
mda-misu.de. MX 3600 MX Record: 100 mxlb.ispgateway.de.
HtmlToTextCheckTime:2022-07-25 11:26:20
Home Summer School - Machine Learning and Data Analytics in Finance and Accounting (MDA) Home Academic Information Faculty Target Group Grades and Credits Fees and Payment Registration Accommodation Practical Information Online course platform Contact Summer School - Machine Learning and Data Analytics in Finance and Accounting (MDA) July 25 - August 11, 2022 1 week online, July 25 - 30 2 weeks in-class in Munich, August 2 - 11 An increasingly complex global business environment requires firms’ to make use of the large amounts of data out there in order to make better decisions. Machine learning allows to “automatically detect patterns in data, and then use the uncovered patterns to predict future data” (K. Murphy, Research Scientist at Google). Using data analytics techniques, large data and detected patterns can be visualized and communicated to decision makers. Both, rapidly evolve and change businesses as well as companies’ financial processes. This opens up the possibility of
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