Rohan Agrawal
2 SlideShares 229 Abonné 214 Suivis
Personal Information
Entreprise/Lieu de travail
Greater New York City Area, New York United States
Profession
Machine Learning Engineer at Spotify
Secteur d’activité
Technology / Software / Internet
Site Web
rohanag.github.io
À propos
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.
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Mots-clés
spotify recurrent neural net matrix factorization recommender system machine learning internship whotofollow link prediction
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Présentations

(2)

WhoToFollow @Spotify

il y a 10 ans • 1637 Vues

Personalized Playlists at Spotify

il y a 7 ans • 920 Vues

J’aime

(14)
Tout voir

Big Data in Real-Time at Twitter

nkallen • il y a 14 ans

Deep Learning Meetup #5

Aloïs Gruson • il y a 8 ans

Tutorial bpocf

koeverstrep • il y a 8 ans

Recsys 2015: Making Meaningful Restaurant Recommendations at OpenTable

Sudeep Das, Ph.D. • il y a 8 ans

Interactive Recommender Systems with Netflix and Spotify

Chris Johnson • il y a 8 ans

Recommendation Techn

Ted Dunning • il y a 9 ans

Recommendations and User Understanding at StumbleUpon

Debora Donato • il y a 11 ans

Recommendations and Discovery at StumbleUpon

Sumanth Kolar • il y a 11 ans

Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial

Alexandros Karatzoglou • il y a 10 ans

Building Large-scale Real-world Recommender Systems - Recsys2012 tutorial

Xavier Amatriain • il y a 11 ans

Recommender Systems Tutorial (Part 1) -- Introduction

Bee-Chung Chen • il y a 11 ans

Music Recommendation and Discovery in the Long Tail

Oscar Celma • il y a 15 ans

Simpler Machine Learning with SKLL

Daniel Blanchard • il y a 10 ans

machine-learning-with-large-networks-of-people-and-places

Tony Frame • il y a 10 ans
Personal Information
Entreprise/Lieu de travail
Greater New York City Area, New York United States
Profession
Machine Learning Engineer at Spotify
Secteur d’activité
Technology / Software / Internet
Site Web
rohanag.github.io
À propos
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.
Mots-clés
spotify recurrent neural net matrix factorization recommender system machine learning internship whotofollow link prediction
Tout plus