Belgrade BDA School v1.0

Posted on: Fri, 06/28/2019 - 19:31 By: valentina.janev

The LAMBDA Big Data Analytics Summer School was organized by the LAMBDA consortium partners Institute Mihajlo Pupin (PUPIN), Fraunhofer Institute for Intelligent Analysis and Information Systems (Fraunhofer/IAIS), Institute for Computer Science - University of Bonn (UBO) and Department of Computer Science - University of Oxford (UOXF). The event took place in Belgrade between June 17th and June 20th, 2019. Overall, more than 60 participants gathered at the PUPIN premises to exchange knowledge and expertise in Big Data technologies.

Advisory Board Meeting, Belgrade, Serbia, June 2019

Posted on: Sun, 06/23/2019 - 16:08 By: valentina.janev

We are glad to announce that the LAMBDA consortium met the Advisory Board Members at the Belgrade Art Hotel on June 17, 2019. During the 3-day events (Big Data Analytics Summer School, 18-20.06.2019), the PUPIN staff and other guests from West Balkan countries had opportunities to network with experts and internationally renowned Big data and semantic technologies professors.

TensorFlow

Posted on: Thu, 06/06/2019 - 12:37 By: valentina.janev

An end-to-end open source machine learning platform.

  • Flow Models & datasets
    Explore repositories and other resources to find available models, modules and datasets created by the TensorFlow community.

  • Tools
    Explore tools to support and accelerate TensorFlow workflows

Python

Posted on: Thu, 06/06/2019 - 12:25 By: valentina.janev

Python is an interpreted, interactive, object-oriented programming language. It incorporates modules, exceptions, dynamic typing, very high level dynamic data types, and classes. Python is an extremely popular general-purpose, dynamic, and is a widely used language within the data science community.

 

Semantic Analytics Stack (SANSA)

Posted on: Thu, 06/06/2019 - 09:26 By: valentina.janev

SANSA is a big data processing engine for scalable processing of large-scale RDF data, please check SDA Web pages. SANSA uses Spark and Flink which offer fault-tolerant, highly available and scalable approaches to process massive sized datasets efficiently. SANSA provides the facilities for Semantic data representation, Querying, Inference, and Analytics.

SANSA-Stack’s core is a processing data flow engine that provides data distribution and fault tolerance for distributed computations over RDF large-scale datasets.

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