Eugene Necheporenko
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Russian Federation Russian Federation
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Business Intelligence and BigData consulting services. MicroStrategy BI 9.5-10.2, Microsoft SQL Server 2015-2016 BI (SSAS, SSRS, SSIS, SQL), DWH, Big Data, DataLake, Hadoop, Spark, Python, Scikit-learn. Also familiar with IT technology development and competition in banking, retail, logistics, inventory management and supply chain. And go out onto the hydroplaning on wind-surf. With turning on the speed is not very:)
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Presentations

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Microsoft azure machine learning hakaton 2015, team 1'st place

8 years ago • 371 Views

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Get Started with Driverless AI Recipes - Hands-on Training

Sri Ambati • 4 years ago

Scalable Automatic Machine Learning with H2O

Sri Ambati • 4 years ago

Feature Engineering

Sri Ambati • 6 years ago

Machine Learning trading bots

DataWorks Summit • 5 years ago

Как получать пользу от A/B тестирования?

Mindbox • 6 years ago

Что такое аналитика в маркетинге, зачем она нужна, и как ее готовить

Mindbox • 10 years ago

Apache HAWQ and Apache MADlib: Journey to Apache

PivotalOpenSourceHub • 8 years ago

5733 a deep dive into IBM Watson Foundation for CSP (WFC)

Arvind Sathi • 9 years ago

pgdip-project-report-final-148245F

Vimukthi Wickramasinghe • 7 years ago

Forget Big Data. It's All About Smart Data

Alan McSweeney • 7 years ago

Prediction of Credit Default by Continuous Optimization

SSA KPI • 14 years ago

Knowledge extraction from Nanosafety Data

Robert Rallo • 8 years ago

Knowledge extraction in Web media: at the frontier of NLP, Machine Learning and Semantics

Julien PLU • 8 years ago

Knowledge extraction from support vector machines

Eyad Alshami • 7 years ago

Hadoop Query Performance Smackdown

DataWorks Summit • 6 years ago

Structuring Apache Spark 2.0: SQL, DataFrames, Datasets And Streaming - by Michael Armbrust

Databricks • 7 years ago

Apache Spark 2.0: A Deep Dive Into Structured Streaming - by Tathagata Das

Databricks • 7 years ago

Устранение шума в анализе твитов, связь смежности и модулярности при разбиении графа

Александр Дьяконов • 8 years ago

How to Build a Recommendation Engine on Spark

Caserta • 9 years ago

Emil Eifrem Keynote - GraphConnect Europe 2017

Neo4j • 6 years ago

Real-Time Analytics with Solr: Presented by Yonik Seeley, Cloudera

Lucidworks • 8 years ago

Building a real time big data analytics platform with solr

Trey Grainger • 10 years ago

South Big Data Hub: Text Data Analysis Panel

Trey Grainger • 7 years ago

Reflected Intelligence: Lucene/Solr as a self-learning data system

Trey Grainger • 7 years ago

Reflected intelligence evolving self-learning data systems

Trey Grainger • 7 years ago

The Semantic Knowledge Graph

Trey Grainger • 7 years ago

Knowledge Graphs at Elsevier

Paul Groth • 8 years ago

Hello DataStax Enterprise Graph

DataStax • 7 years ago

Enterprise Knowledge Graph

Lukas Masuch • 8 years ago

MicroStrategy Design Challenges - Tips and Best Practices

BiBoard.Org • 8 years ago
Personal Information
Organization / Workplace
Russian Federation Russian Federation
Occupation
Digital Professional
Industry
Technology / Software / Internet
About
Business Intelligence and BigData consulting services. MicroStrategy BI 9.5-10.2, Microsoft SQL Server 2015-2016 BI (SSAS, SSRS, SSIS, SQL), DWH, Big Data, DataLake, Hadoop, Spark, Python, Scikit-learn. Also familiar with IT technology development and competition in banking, retail, logistics, inventory management and supply chain. And go out onto the hydroplaning on wind-surf. With turning on the speed is not very:)
Tags
big data azure machine learning python
See more