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Predicting the Solar Potential of Rooftops using Image Segmentation and Structured Data

Predicting the Solar Potential of Rooftops using Image Segmentation and Structured Data How could we automatically estimate the amount of electricity that solar panels could generate on any building of a country, instantly? It would require to be able to […]

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Artificial intelligence transforms travel experience

Reading time : 7 minutes

nam.R - Artificial intelligence transforms travel experience

In terms of data, tourism industry is complex to analyze. It has just 25% of structured data that comes from varied sources like business websites of tour operators, e-commerce by travel agencies, hosting companies, restaurants, transporters and CRM & other […]

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Data Science Summer School 2017 – first Edition

Reading time : 3 minutes

nam.R - Data Science Summer School 2017 – first Edition

Even before the begining, the international program organised by Emmanuel Bacry (co-founder of nam.R, director of research at the CNRS at Paris Dauphine University and lecturer at Ecole Polytechnique), was a success: 700 applications of which 400 were accepted, 30 […]

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Data Science Summer School 2018

Reading time : 2 minutes

nam.R - Data Science Summer School 2018

An idea of Emmanuel Bacry, co-founder of nam.R, director of research at the CNRS, Paris Dauphine University and lecturer at the Ecole Polytechnique, the Data Science Summer School have gathered this year a new colorful panel of experts. Among them, Cédric Villani, […]

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Why use machine learning in marketing?

Reading time : 4 minutes

nam.R - Why use machine learning in marketing?

Overview of new practices: The data sources used in customer marketing are diverse. The traces left online by internet users are numerous. Marketers can easily observe consumers through their online shopping, apps, conversations on social media, browsing history or search […]

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Big GEOdata: Data mapping and exploitation

Reading time : 4 minutes

nam.R - Big GEOdata: Data mapping and exploitation

When surfing on computer or smartphone, a user can leave a lot of personal information (digital footprint) such as age, gender, profession and most importantly, his current location. Information about user’s location can be transmitted even without his or her […]

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