Personal Information
Entreprise/Lieu de travail
London United Kingdom
Profession
Software Engineer at Facebook
Mots-clés
online experiments
data science
statistics
machine learning
Tout plus
- Présentations
- Documents
- Infographies
A Multi-Armed Bandit Framework For Recommendations at Netflix
Jaya Kawale
•
il y a 5 ans
Academia to Data Science - A Hitchhiker's Guide
Sudeep Das, Ph.D.
•
il y a 6 ans
Deeper Things: How Netflix Leverages Deep Learning in Recommendations and Search
Sudeep Das, Ph.D.
•
il y a 5 ans
Recent Trends in Personalization: A Netflix Perspective
Justin Basilico
•
il y a 4 ans
Shallow and Deep Latent Models for Recommender System
Anoop Deoras
•
il y a 5 ans
Recommending for the World
Yves Raimond
•
il y a 8 ans
Déjà Vu: The Importance of Time and Causality in Recommender Systems
Justin Basilico
•
il y a 6 ans
Time, Context and Causality in Recommender Systems
Yves Raimond
•
il y a 5 ans
Deep Learning for Recommender Systems
Yves Raimond
•
il y a 6 ans
ML Infra for Netflix Recommendations - AI NEXTCon talk
Faisal Siddiqi
•
il y a 6 ans
Netflix Recommendations Feature Engineering with Time Travel
Faisal Siddiqi
•
il y a 6 ans
Making Netflix Machine Learning Algorithms Reliable
Justin Basilico
•
il y a 6 ans
Correlation, causation and incrementally recommendation problems at netflix september 2018 - university of antwerp
Roelof van Zwol
•
il y a 5 ans
Recommendation at Netflix Scale
Justin Basilico
•
il y a 10 ans
Recommendations for Building Machine Learning Software
Justin Basilico
•
il y a 7 ans
Is that a Time Machine? Some Design Patterns for Real World Machine Learning Systems
Justin Basilico
•
il y a 7 ans
Data Storage Tips for Optimal Spark Performance-(Vida Ha, Databricks)
Spark Summit
•
il y a 8 ans
Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015
Databricks
•
il y a 9 ans
Top 5 Mistakes to Avoid When Writing Apache Spark Applications
Cloudera, Inc.
•
il y a 8 ans
Shared Infrastructure for Data Science
Wes McKinney
•
il y a 6 ans