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Tutoriel
9 mars 2018

Data science Methodology to Forecast Time Series – Part 2

How to take advantage of chronological data to forecast, prevent or describe patterns that occur in our daily operations ? This series of 2 articles will answer that question by presenting various concepts as well as an end-to-end methodology for time series analysis.

Big Data - Intelligence Artificielle - Machine Learning - Statistics - Time Series
Lamine Diop
José Sanchez
Tutoriel
7 mars 2018

Methodology for Fraud Detection in credit card transactions with small manual labelling effort (Keras / MLP / Autoencoder)

The annual loss due to fraudulent credit card transactions in France reached 400 millions of euros in 2016 (Source: L’observatoire de la sécurité des moyens de paiement). Even if this number is small compared with the global loss ($ 21.8 billions in 2015 according to Nilson Reports), the fraud detection is an important concern for […]

Deep Learning - FinTech - Intelligence Artificielle
Jean Cupe
José Sanchez
Tutoriel
28 février 2018

Data science Methodology to Forecast Time Series – Part 1

How to take advantage of chronological data to forecast, prevent or describe patterns that occur in our daily operations ? This series of 2 articles will answer that question by presenting various concepts as well as an end-to-end methodology for time series analysis.

Big Data - Intelligence Artificielle - Machine Learning - Statistics - Time Series
Lamine Diop
José Sanchez
Tutoriel
4 février 2018

« Hello, I am The AxioNaut », 1er prototype de véhicule autonome d’Axionable

L’AxioNaut d’Axionable embarque les dernières technologies de Deep Learning, de NLP (Natural Language Processing) avec Amazon Alex, de décision temps réel de video analytics ou encore de communication selon des protocoles d’Internet of Things.

Deep Learning - Intelligence Artificielle - Voiture autonome
Jean Cupe
Nelson Fernandez
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