Evaluación y Análisis

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Title Angel Conde Manjon | Ph.D., PSA at AWS & Flow
Description Angel Conde Manjon Ph.D., PSA at AWS & Flow Master About Me I am a technology enthusiast that loves to learn and work with the latest technologies. I am c
Keywords N/A
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WebSite acmanjon faviconacmanjon.es
Host IP 104.21.72.235
Location United States
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evaluación
US$1,737
Última actualización: 2022-07-15 23:09:15

La clasificación global de Semrush para acmanjon.es es 0 . acmanjon.es tiene un valor estimado de US$1,737 según los ingresos publicitarios estimados. acmanjon.es es accedido por aproximadamente 200 usuarios únicos cada día. Su servidor web está ubicado en United States y tiene una dirección IP de 104.21.72.235. SiteAdvisor dice que es seguro acceder a acmanjon.es.

Tráfico y valor de cotización
precio de venta US$1,737
ingresos publicitarios diarios US$1
ingresos publicitarios mensuales US$48
ingresos publicitarios anuales US$577
Visitante único diario 13
Nota: Todos los valores de tráfico e ingresos son estimaciones.
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HtmlToTextCheckTime:2022-07-15 23:09:15
Angel Conde Manjon Ph.D., PSA at AWS & Flow Master About Me I am a technology enthusiast that loves to learn and work with the latest technologies. I am currently working as PSA at Amazon Web Services specialized in Data Analytics. Technologies that I use everyday: Moreover, I like to give talks at conferences (e.g. Big Data Spain ) or meetups (e.g. DataBeers Eus ) when I have time ☺. The slides of my public talks can be seen at SlideShare Research My research interests include: IA , IoT , Big Data , Cloud and any kind of Distributed System . See my Google Academic profile. P.h.D. Theses Mikel Cañizo : Large-Scale Anomaly Detection and Diagnosis on Industrial Heterogeneous Multi-Sensor Systems Using Deep Learning. Thesis co-supervised with the collaboration of Enrique Onieva from the University of Deusto. 2020 Ane Blazquez : ongoing…. M.s.C Theses Samuel Camba: Auto ML applied to Industrial scenarios ( University of Oviedo), 2020. Asier Gomez: Applied DevOps to monitor a Big Data
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