Personal Information
Organización/Lugar de trabajo
Moscow, Russian Federation Russian Federation
Ocupación
Head of data science team, Recommender systems, rzykov@gmail.com
Sitio web
kpis.ru
Acerca de
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...
Etiquetas
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 más
Presentaciones
(28)Documentos
(3)Recomendaciones
(27)Recent Trends in Personalization at Netflix
Justin Basilico
•
Hace 3 años
Deep Learning for Recommender Systems
Justin Basilico
•
Hace 6 años
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
Hace 8 años
Deep Style: Using Variational Auto-encoders for Image Generation
TJ Torres
•
Hace 8 años
Extending Word2Vec for Performance and Semi-Supervised Learning-(Michael Malak, Oracle)
Spark Summit
•
Hace 8 años
Scala Data Pipelines for Music Recommendations
Chris Johnson
•
Hace 9 años
PyData: The Next Generation
Wes McKinney
•
Hace 9 años
Recsys 2014 Tutorial - The Recommender Problem Revisited
Xavier Amatriain
•
Hace 9 años
Apache Hadoop YARN: best practices
DataWorks Summit
•
Hace 9 años
Efficient Data Storage for Analytics with Apache Parquet 2.0
Cloudera, Inc.
•
Hace 9 años
Genomics Is Not Special: Towards Data Intensive Biology
Uri Laserson
•
Hace 9 años
CRM-digest
GRAPE
•
Hace 10 años
The "Big Data" Ecosystem at LinkedIn
Sam Shah
•
Hace 10 años
imu2010 - Интернет-мерчендайзинг. Методы сбора и анализа данных. Флакс, Овокс
UAMASTER Digital Agency
•
Hace 13 años
Strata 2013 - LinkedIn Endorsements: Reputation, Virality, and Social Tagging
Sam Shah
•
Hace 11 años
Culture
Reed Hastings
•
Hace 14 años
Владислав Флакс "Как Big Data делает вашу жизнь лучше"
Yandex
•
Hace 11 años
hadoop @ Ibmbigdata
Eric Baldeschwieler
•
Hace 12 años
Collaborative filtering at scale
huguk
•
Hace 13 años
HBase and Hadoop at Adobe
Cosmin Lehene
•
Hace 13 años
NoSQL at Twitter (NoSQL EU 2010)
Kevin Weil
•
Hace 14 años
Guess the Outcome of 15 Tests
Lars J
•
Hace 14 años
AddVenture бизнес-модели
Eduson.tv
•
Hace 14 años
E-Marketplace V1.10
Pawoot (Pom) Pongvitayapanu
•
Hace 15 años
eBay 2009 Analyst Day
Phil Wolff
•
Hace 15 años
eCommerce Summit eBay Keynote Presentation
eCommerce Merchants
•
Hace 14 años
Personal Information
Organización/Lugar de trabajo
Moscow, Russian Federation Russian Federation
Ocupación
Head of data science team, Recommender systems, rzykov@gmail.com
Sitio web
kpis.ru
Acerca de
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...
Etiquetas
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 más