Personal Information
Entreprise/Lieu de travail
Moscow, Russian Federation Russian Federation
Profession
Head of data science team, Recommender systems, rzykov@gmail.com
Site Web
kpis.ru
À propos
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...
Mots-clés
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
Tout plus
Présentations
(28)Documents
(3)J’aime
(27)Recent Trends in Personalization at Netflix
Justin Basilico
•
il y a 3 ans
Deep Learning for Recommender Systems
Justin Basilico
•
il y a 6 ans
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
il y a 8 ans
Deep Style: Using Variational Auto-encoders for Image Generation
TJ Torres
•
il y a 8 ans
Neighbor methods vs matrix factorization - case studies of real-life recommendations (Gravity LSRS2015 RECSYS 2015)
Domonkos Tikk
•
il y a 8 ans
Extending Word2Vec for Performance and Semi-Supervised Learning-(Michael Malak, Oracle)
Spark Summit
•
il y a 8 ans
Scala Data Pipelines for Music Recommendations
Chris Johnson
•
il y a 9 ans
PyData: The Next Generation
Wes McKinney
•
il y a 9 ans
Recsys 2014 Tutorial - The Recommender Problem Revisited
Xavier Amatriain
•
il y a 9 ans
Apache Hadoop YARN: best practices
DataWorks Summit
•
il y a 9 ans
Efficient Data Storage for Analytics with Apache Parquet 2.0
Cloudera, Inc.
•
il y a 9 ans
Genomics Is Not Special: Towards Data Intensive Biology
Uri Laserson
•
il y a 9 ans
CRM-digest
GRAPE
•
il y a 10 ans
The "Big Data" Ecosystem at LinkedIn
Sam Shah
•
il y a 10 ans
imu2010 - Интернет-мерчендайзинг. Методы сбора и анализа данных. Флакс, Овокс
UAMASTER Digital Agency
•
il y a 13 ans
Strata 2013 - LinkedIn Endorsements: Reputation, Virality, and Social Tagging
Sam Shah
•
il y a 11 ans
Culture
Reed Hastings
•
il y a 14 ans
Владислав Флакс "Как Big Data делает вашу жизнь лучше"
Yandex
•
il y a 11 ans
hadoop @ Ibmbigdata
Eric Baldeschwieler
•
il y a 12 ans
Collaborative filtering at scale
huguk
•
il y a 13 ans
HBase and Hadoop at Adobe
Cosmin Lehene
•
il y a 13 ans
NoSQL at Twitter (NoSQL EU 2010)
Kevin Weil
•
il y a 14 ans
Guess the Outcome of 15 Tests
Lars J
•
il y a 14 ans
AddVenture бизнес-модели
Eduson.tv
•
il y a 14 ans
E-Marketplace V1.10
Pawoot (Pom) Pongvitayapanu
•
il y a 15 ans
eBay 2009 Analyst Day
Phil Wolff
•
il y a 15 ans
eCommerce Summit eBay Keynote Presentation
eCommerce Merchants
•
il y a 14 ans
Personal Information
Entreprise/Lieu de travail
Moscow, Russian Federation Russian Federation
Profession
Head of data science team, Recommender systems, rzykov@gmail.com
Site Web
kpis.ru
À propos
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...
Mots-clés
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
Tout plus