27-29 November, Vilnius

Conference about Big Data, High Load, Data Science, Machine Learning & AI

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WORKSHOPS LIST

Introduction to Deep Learning with TensorFlow

OLIVER ZEIGERMANN

Deep Learning is a special and most promising variant of Supervised Machine Learning. Most recent break-throughs have been fueled by instead of programming a system, you instead use known data to train a system, like you do in deep learning. We will touch classic Neural…

Machine Learning for non-Data Scientist: Smart Decisions Game

TETIANA HLADKYKH & DMYTRO ZIKRACH

The purpose of our workshop “Machine Learning for non-Data Scientist: Smart Decisions Game” is the presentation of a new, game-based, approach to the designing ML systems. During the workshop, participants will play a card game that allows modeling the decision…

Essentials for Apache Hadoop and Hadoop Ecosystem (LT)

ERNESTAS SYSOJEVAS

Learn how Apache Hadoop addresses the limitations of traditional computing, helps businesses overcome real challenges, and powers new types of big data analytics. This workshop introduces Apache Hadoop ecosystem and outlines how to prepare the…

Time Series Forecast

VALENTINA DJORDJEVIC

This workshop will cover basic concepts of time series analysis, like time series decomposition, stationarity analysis, trend and seasonality smoothing. Afterwards, some of the most popular algorithms used for time series forecasting will be presented and explored…

Apache Airflow hands on

GERARD TOONSTRA

Apache Airflow is attracting more attention worldwide as a de-facto ETL platform. As the author of the site “ETL with airflow”, I’d like to share this knowledge and get novices up to speed with Apache Airflow as their ETL platform. Learn how to write your first DAG in python…

Rapid Miner: Playing with Text

AHMED ELRAGAL

Nowadays, text is everywhere such as: enterprise records, consumer complaints, product inquiries; social media; & product reviews. Text is just another form of data, and text processing is just a special case of data representation. Since we, humans, communi…

Bayesian Hierarchical Model for Predictive Analysis

AMIR MEIMAND

Many predictive models require data to be structured (e.g., demographically, spatially, temporally). Each group of structured data has it is own parameters, but these parameters are related because data have a natural hierarchical structure. In such cases, two modeling…

Crawling the Web at Scale with Elasticsearch

JULIEN NIOCHE

In this course, we will explore [StormCrawler](http://stormcrawler.net), a collection of resources for building low-latency, large-scale web crawlers on Apache Storm. After a short introduction to Apache Storm and an overview of what Storm-Crawler provides…