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
Presentations
(1)Likes
(150)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
•
6 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
•
8 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
•
7 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
•
11 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
•
8 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