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first free international summer school for Big Data and Datamining Models

Description:

 

From 9th to 12th of July 2018 the Faculty of Science and Techniques of Tangier is excited to host its first free summer school for Big Data and Datamining Models in Tangier. The attractive program aims at students and young graduates, as well as other academic and industrial practitioners and researchers that operate in the field of Big Data. We offer an inspiring mix of motivating keynotes, online trainings, classes and excursions. The summer school teaches the basics of working with large and complex amounts of data and provides an overview of relevant approaches and solutions. Thus, the participants can gain an insight into current research areas and acquire basic practical Big Data skills. Furthermore, there will be plenty of opportunities to exchange ideas and to discuss the topics with other participants and speakers. The talks and keynotes in the morning will be held in English. For the practical sessions in the afternoon good English and java programming skills are required. The number of participants is limited so that we will select interested participants based on their provided information about motivation, prior knowledge and interests.

Course leader


1- Pr. Ezziyyani Mostafa, Abdelmalk Essaadi University, FST  ( IBM Big Data Specialist)

2- Pr. Hajar Mossanif, Cadi Ayad University, FS Marrekech   (Datamining algorithm Specialist)

3- Pr. Abdellatif El Afia, Mohammed V University, ENSIAS  (Maching learning Specialist)

4- IBM Speaker (Not yet confirmed )

Program :


- Big Data Storage/ NoSQL
- Distributed Data Processing (HPC/MapReduce/Streaming/Spark/Flink)
- Graph Analytics/Management
- Big Data Integration
- Data mining models
- Deep learning
- MachineLearning
- Social media analytics
- Very large graph mining and Text mining
- Real-life case studies of Big Data Analytics

Inscription  :

All PhD Students are invited to inscribe for free registration on the online application form Here . The place number are limited to 20 PhD students. 

IBM Certification : (Not yet confirmed)