27-29 November, Vilnius

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

Conference is over. See you next year!

WORKSHOPS LIST

Introduction to Deep Learning with TensorFlow

OLIVER ZEIGERMANN  (SOLD OUT)

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  (Nov 26)

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 (SOLD OUT)

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…

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…

Introduction to web crawling with StormCrawler (and Elasticsearch)

JULIEN NIOCHE (SOLD OUT)

In this workshop, we will explore StormCrawlera 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, we’ll put it to use for a simple crawl before…