Personal Information
Organização/Local de trabalho
Moscow, Russian Federation Russian Federation
Cargo
Head of data science team, Recommender systems, rzykov@gmail.com
Site
kpis.ru
Sobre
Data scientist & Analytics engineer working with Big Data sets.
Main interest is a Recommender System development: Frameworks, Algorithms, Offline/online testing.
My tools - Hadoop cluster with Spark. Our primary language is Scala.
I can consult interested projects for free.
Public speaker at conferences:
- Sep 2016, Boston - ACM RecSys confrence - Hypothesis Testing: How to Eliminate Ideas ASAP
- Mar 2014, Moscow - Global Entrepreneurship Congress - More Opportunities of Big Data
- Oct 2013, Dublin Ireland - Data for startups - Big Data & Analytics Innovation Summit
- Nov 2012, Moscow - Highload 2012
- Sep 2012, London - Big Data World
Specialties: Data Science, Machin...
Marcadores
hadoop
recommendation engine
apache hadoop
e-commerce
kpi
-
recsys2016
big data
retailrocket
spark
hadoop big data
item to item
hadoop bigdata case
bigdata
wikimart
bi
webanalytics
Ver mais
- Apresentações
- Documentos
- Infográficos
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Deep Learning for Recommender Systems
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word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
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Deep Style: Using Variational Auto-encoders for Image Generation
TJ Torres
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Extending Word2Vec for Performance and Semi-Supervised Learning-(Michael Malak, Oracle)
Spark Summit
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Há 8 anos
Scala Data Pipelines for Music Recommendations
Chris Johnson
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PyData: The Next Generation
Wes McKinney
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Recsys 2014 Tutorial - The Recommender Problem Revisited
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Apache Hadoop YARN: best practices
DataWorks Summit
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Efficient Data Storage for Analytics with Apache Parquet 2.0
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Genomics Is Not Special: Towards Data Intensive Biology
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CRM-digest
GRAPE
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The "Big Data" Ecosystem at LinkedIn
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