fanny-yang.de bewertung und analyse

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Title Fanny Yang -
Description Fanny Yang Research Group Personal Contact My professional information has moved to my group website PC: ETHZ / Giulia Marthaler For a long and detailed v
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WebSite fanny-yang faviconfanny-yang.de
Host IP 5.45.108.250
Location Germany
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fanny-yang.de bewertung
Euro1,653
Zuletzt aktualisiert: 2022-07-03 09:39:13

fanny-yang.de hat Semrush globalen Rang von 17,691,270. fanny-yang.de hat einen geschätzten Wert von € 1,653, basierend auf seinen geschätzten Werbeeinnahmen. fanny-yang.de empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in Germany mit der IP-Adresse 5.45.108.250. Laut SiteAdvisor ist fanny-yang.de sicher zu besuchen.

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Kauf-/Verkaufswert Euro€1,653
Tägliche Werbeeinnahmen Euro€44,631
Monatlicher Anzeigenumsatz Euro€14,877
Jährliche Werbeeinnahmen Euro€1,102
Tägliche eindeutige Besucher 551
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Host Type TTL Data
fanny-yang.de. A 7200 IP: 5.45.108.250
fanny-yang.de. NS 7200 NS Record: second-dns.netcup.net.
fanny-yang.de. NS 7200 NS Record: root-dns.netcup.net.
fanny-yang.de. NS 7200 NS Record: third-dns.netcup.net.
fanny-yang.de. MX 7200 MX Record: 10 mail.fanny-yang.de.
HtmlToTextCheckTime:2022-07-03 09:39:13
Fanny Yang Research Group Personal Contact My professional information has moved to my group website PC: ETHZ / Giulia Marthaler For a long and detailed version of my CV click here fanny-yang (at) berkeley.edu I am an Assistant Professor in the Computer Science Department (D-INFK) at ETH Zurich. Previously I was a postdoctoral Scholar at Stanford University working with John Duchi and Percy Liang and a Junior Fellow at the Institute for Theoretical Studies at ETH Zurich working with Nicolai Meinshausen . Before that, I was a PhD student at the EECS department of UC Berkeley advised by Martin Wainwright . I’m generally interested in theoretically understanding and developing tools in machine learning and statistics that work well. Currently I am particularly curious about gaining theoretical understanding for the generalization properties of overparameterized models for high-dimensional data (motivated by neural networks) as well as a plethora of questions related to obtaining more
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