Cher(e) Abonné(e),

Le lundi 25 septembre 2017, nous vous proposons 3 New(s) qui peu(ven)t vous intéresser:

BigDataFR

BigDataFr vous souhaite une excellente journée et vous propose aujourd'hui :

 

Réseau Maths, Finance & Big Data sur LinkedIn : merci à nos +27.000 abonnés ! Cliquez ici pour les rejoindre.

[Objectif Emploi] EDHEC-Risk - Eri Scientific Beta recrute un Senior Developer MatLab

ERI Scientific Beta is currently looking for a Senior MatLab Developer - Full-time position (Nice, France)

As part of its policy of transferring know-how to the industry, EDHEC-Risk Institute set up ERI Scientific Beta. ERI Scientific Beta is an original initiative which aims to favour the adoption of the latest advances in smart beta design and implementation by the investment industry. As of December 31, 2016, the Scientific Beta indices corresponded to USD 12.3bn in assets under replication.
With offices in Boston, London, Nice, Singapore and Tokyo, ERI Scientific Beta has a dedicated team of 45 people who cover client support, development, production and promotion of its index offering.

Senior MatLab Developer - Full-time position

  • The successful candidate will be an experienced MatLab Developer, with significant skills in quantitative finance, calculation and back testing.
  • Experience in a software development role with a financial company would be a strong asset for the position.

Apply now by email - More information

[MatLab] eBook - Introduction au Deep Learning

lundi 25 septembre 2017

eBook gratuit MATLAB Deep Learning

Le Deep Learning est une technologie en plein essor qui promet de révolutionner la pratique du Machine Learning. Pour autant, qui maîtrise et utilise quotidiennement le Deep Learning ?

Grâce à l'eBook Introduction au Deep Learning avec MATLAB, vous en saurez plus sur cette technologie révolutionnaire et vous découvrirez que le Deep Learning est à votre portée : il n'est nullement nécessaire d'être un expert pour commencer.

Téléchargez l'eBook pour en savoir plus sur les sujets suivants :

  • Méthode d'apprentissage d'un réseau
  • Machine Learning vs Deep Learning
  • Réseaux de neurones à convolution (CNN)
  • Utilisation d'un réseau préentraîné tel qu'AlexNet pour la classification d'images
  • Ressources de calcul pour le Deep Learning

Cliquez ici pour télécharger votre eBook gratuit

 
  

[BigData @ Moody's Analytics France - Hadoop - Spark] Apply Now!

lundi 25 septembre 2017

Moody's Corporation (NYSE: MCO) is the parent company of Moody's Investors Service, which provides credit ratings and research covering debt instruments and securities, and Moody's Analytics, which offers leading-edge software, advisory services and research for credit and economic analysis and financial risk management.
The Corporation, which reported revenue of $3.5 billion in 2015, employs approximately 10,400 people worldwide and maintains a presence in 36 countries.

Careers @Moody's Analytics France: Software Engineer - IT Finance/Big Data

Embedded in an agile team in our R&D in Grenoble (France), you will participate in our new releases of our regulatory risk software.
In addition to our existing applications based on Oracle and C ++, we build a new "big data" offer written in Scala and relying on Hadoop and Spark technologies.

Qualifications     

  • Master's Degree in Computer Science or Engineering with 3 years or more experience in software development.
  • Significant experience in C++
  • A first experience in Spark will be a plus
  • Good understanding of database is required
  • Openmided to understand financial background
  • Fluent in French and a good level in English

More information/Apply now!

 
  

[BigData - Dataconomy] Securing Competitive Advantage with Machine Learning

lundi 25 septembre 2017

[...] Business dynamics are evolving with every passing second. There is no doubt that the competition in today’s business world is much more intense than it was a decade ago. Companies are fighting to hold on to any advantages.[...]

Lire l'article
By Ronald van Loon
Source: dataconomy.com

 
  

A bientôt.

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