Rohan Agrawal
229
Seguidores
Personal Information
Organização/Local de trabalho
Greater New York City Area, New York United States
Cargo
Machine Learning Engineer at Spotify
Setor
Technology / Software / Internet
Site
rohanag.github.io
Sobre
I am currently a Machine Learning Engineer at Spotify, New York.
I have a Master's degree at Columbia University with a specialization in Machine Learning.
I also interned at Spotify during Fall 2013, and worked on WhoToFollow User recommendations. Slides: http://www.slideshare.net/rohanag1/internship-pp-tslideshare
In the Summer of 2103, I interned at Yahoo! Sunnyvale and worked on Trend Detection from the Twitter Stream.
Marcadores
spotify
recurrent neural net
matrix factorization
recommender system
machine learning
internship
whotofollow
link prediction
Ver mais
- Apresentações
- Documentos
- Infográficos
Big Data in Real-Time at Twitter
nkallen
•
Há 14 anos
Deep Learning Meetup #5
Aloïs Gruson
•
Há 8 anos
Tutorial bpocf
koeverstrep
•
Há 8 anos
Recsys 2015: Making Meaningful Restaurant Recommendations at OpenTable
Sudeep Das, Ph.D.
•
Há 8 anos
Interactive Recommender Systems with Netflix and Spotify
Chris Johnson
•
Há 8 anos
Recommendation Techn
Ted Dunning
•
Há 9 anos
Recommendations and User Understandingat StumbleUpon
Debora Donato
•
Há 11 anos
Recommendations and Discovery at StumbleUpon
Sumanth Kolar
•
Há 11 anos
Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial
Alexandros Karatzoglou
•
Há 10 anos
Building Large-scale Real-world Recommender Systems - Recsys2012 tutorial
Xavier Amatriain
•
Há 11 anos
Recommender Systems Tutorial (Part 1) -- Introduction
Bee-Chung Chen
•
Há 11 anos
Music Recommendation and Discovery in the Long Tail
Oscar Celma
•
Há 15 anos
Simpler Machine Learning with SKLL
Daniel Blanchard
•
Há 10 anos
machine-learning-with-large-networks-of-people-and-places
Tony Frame
•
Há 10 anos