Cher(e) Abonné(e),
Le dimanche 10 décembre 2017, nous vous proposons 3 New(s) qui peu(ven)t vous intéresser: |
 |
|
Réseau Maths, Finance & Big Data sur LinkedIn : merci à nos +27.000 abonnés ! Cliquez ici pour les rejoindre
Carrière Big Data, transformation digitale : les formations essentielles aux entreprises.
DSTI, l'un des "Best Online Masters in Data Science & Analytics" selon KDnuggets.
Enseignement également dispensé sur les campus de Paris et de Sophia-Antipolis.
"DSTI c'est un petit peu mon coup de coeur : c'est une institution qui forme exclusivement des Data Scientists"
Stéphane Hadinger (AWS), Transformation Day, 8 nov 2017 - Paris
Visionner la keynote d'ouverture
Prochaine rentree : MSc in Applied Data Science and Big Data
Mars 2018 : Inscriptions ouvertes !
Le MSc in Applied Data Science & Big Data, enseigné en anglais, vise en un an à former des Data Scientists de haut niveau.
Infos MSc - Programme - Infos Candidature - Postuler
|
[Eng] DSTI is the 1st Graduate School in France for Applied Data Science, Big Data & Data Engineering (Paris, Sophia, Online). With the MSc in Applied Data Science & Big Data you can:
- Get familiar with machine/deep learning algorithms.
- Learn how to understand the analysis, design, implementation & monitoring of IT/Big Data architectures.
- Learn how to deploy Big Data architectures and Machine results into corporate systems, get familiar with data viz.
- Get awareness of the legal consequences of data handling...
Application for March 2018 are open
More information-Programme - How to apply - Apply Now
|
|
|
[Career at IESEG] Assistant, Associate or Full Professor in Marketing Analytics - Paris - Lille | mardi 12 décembre 2017 |  IÉSEG is AACSB, EQUIS, AMBA accredited and a member of the ‘Conférence des Grandes Écoles’. IÉSEG is also one of the leading French business School’s in terms of research.
In view of its continuous growth, the Marketing and International Negotiation Department invites applications for a full-time permanent position in Marketing Analytics at Assistant, Associate or Full Professor Level (Lille and Paris Campus)
Ideal candidates: applicants (with a PhD degree) whose teaching and research interests are related to marketing analytics summarized by one or multiple of the following keywords, amongst statistical and machine learning algorithms, (rule-based/hybrid) ensembles, predictive modeling, R, Python, SAS, Spark [...] and/or big data analysis tools. The candidate will contribute to the IÉSEG Excellence Center for Marketing Analytics and shares his/her expertise within the MSc. in Big Data Analytics for Business. The salary is competitive.
Full job description
In order to apply, please:
- Fill in the following form: http://ieseg.az1.qualtrics.com/jfe/form/SV_5avZsQjcdVVnCx7 and upload your application package (cover letter, CV mentioning the names, affiliations, and email addresses of two referees -, research and teaching statement, one working paper and recent teaching evaluations merged into one PDF document indicating name and reference code “DDM18”)
- Two recommendation letters should be sent separately by the referees to: Dr. Gwarlann DE KERVILER, Head of Marketing and International Negotiation Department at mkg.recruitment@ieseg.fr
Objectif 2018 : votre structure recrute ? Cliquez ici | | | | |
| [BigData - Forbes France] BigDataFr recommande : 50 Prédictions Sur LIntelligence Artificielle (IA) En 2018 | mardi 12 décembre 2017 |  [...] On ne prend pas trop de risques en prédisant que l’Intelligence Artificielle (IA) continuera à faire partie des tendances de 2018. Mais les 50 prédictions qui suivent, édictées par des professionnels du secteur, la voient devenir plus pratique et plus utile, jouant un rôle dans l’automatisation de certains emplois, et permettant d’en améliorer d’autres, s’associant au machine learning (ML) et au big data pour de meilleures informations, au milieu d’une prolifération de chatbots [...]
Lire le dossier de Forbes
Source: forbes.fr | | | | |
| [BigData - Dataconomy] BigDataFr recommends: FinTech in the Banking environment | mardi 12 décembre 2017 |  The emergence and development of innovative and flexible financial startups is causing a revolution in financial markets by proving that financial services can be built from the ground up, in response to real user needs. So much so that gaining customers’ trust, along with their investment, is now not the sole concern of banks, but also the aim of these versatile and highly-focused startups.
Read more
By Pawel Haltof
Source: dataconomy.com | | | | |
|
|
|
|
|
