Alexandros Karatzoglou

259 Seguidores

10 SlideShares 0 Painéis de recortes 259 Seguidores 0 Seguindos

10 SlideShares 0 Painéis de recortes 259 Seguidores 0 Seguindos

Staff Research Scientist at Google in London. Research on Machine Learning for Recommender Systems. I’m also the author of kernlab, a fairly popular open source Machine Learning package for R. Used to teach courses on “Deep Learning” and “Computational Machine Learning” at the Graduate School of Economics Masters Course in Data Science in Barcelona and at the GSE Data Science Summer School.Screen Shot 2016-06-13 at 09.46.37l-cBrf_6 Received my PhD in Machine Learning from the Vienna University of Technology, while also being a frequent visitor at the Statistical Machine Learning group at NICTA in Canberra, Australia.

Machine Learning in R

Há 12 anos • 16203 Visualizações

CLiMF: Collaborative Less-is-More Filtering

Há 10 anos • 2266 Visualizações

TFMAP: Optimizing MAP for Top-N Context-aware Recommendation

Há 9 anos • 1088 Visualizações

Multiverse Recommendation: N-dimensional Tensor Factorization for Context-aware Collaborative Filtering

Há 9 anos • 2597 Visualizações

ESSIR 2013 Recommender Systems tutorial

Há 9 anos • 9627 Visualizações

Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial

Há 9 anos • 34003 Visualizações

Ranking and Diversity in Recommendations - RecSys Stammtisch at SoundCloud, Berlin

Há 9 anos • 3274 Visualizações

Machine Learning for Recommender Systems MLSS 2015 Sydney

Há 8 anos • 10393 Visualizações

Deep Learning for Recommender Systems - Budapest RecSys Meetup

Há 6 anos • 7341 Visualizações

Deep Learning for Recommender Systems RecSys2017 Tutorial

Há 5 anos • 32037 Visualizações

Tutorial on Sequence Aware Recommender Systems - ACM RecSys 2018

Massimo Quadrana • Há 4 anos

NIPS 2016 Highlights - Sebastian Ruder

Sebastian Ruder • Há 6 anos

Marios Michailidis • Há 7 anos

Deep learning to the rescue - solving long standing problems of recommender systems

Balázs Hidasi • Há 7 anos

Estratègia de la bicicleta

Ajuntament de Barcelona • Há 7 anos

Large-scale graph processing with Apache Flink @GraphDevroom FOSDEM'15

Vasia Kalavri • Há 8 anos

Deep Learning through Examples

Sri Ambati • Há 8 anos

Algorithmic Music Recommendations at Spotify

Chris Johnson • Há 9 anos

Tutorial on People Recommendations in Social Networks - ACM RecSys 2013,Hong Kong

Anmol Bhasin • Há 9 anos

You Suck At PowerPoint!

Jesse Desjardins - @jessedee • Há 10 anos

Big data Big Analytics

Ajay Ohri • Há 10 anos

Atividades
Sobre

Machine Learning in R

Há 12 anos • 16203 Visualizações

CLiMF: Collaborative Less-is-More Filtering

Há 10 anos • 2266 Visualizações

TFMAP: Optimizing MAP for Top-N Context-aware Recommendation

Há 9 anos • 1088 Visualizações

Multiverse Recommendation: N-dimensional Tensor Factorization for Context-aware Collaborative Filtering

Há 9 anos • 2597 Visualizações

ESSIR 2013 Recommender Systems tutorial

Há 9 anos • 9627 Visualizações

Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial

Há 9 anos • 34003 Visualizações

Ranking and Diversity in Recommendations - RecSys Stammtisch at SoundCloud, Berlin

Há 9 anos • 3274 Visualizações

Machine Learning for Recommender Systems MLSS 2015 Sydney

Há 8 anos • 10393 Visualizações

Deep Learning for Recommender Systems - Budapest RecSys Meetup

Há 6 anos • 7341 Visualizações

Deep Learning for Recommender Systems RecSys2017 Tutorial

Há 5 anos • 32037 Visualizações

Tutorial on Sequence Aware Recommender Systems - ACM RecSys 2018

Massimo Quadrana • Há 4 anos

NIPS 2016 Highlights - Sebastian Ruder

Sebastian Ruder • Há 6 anos

Marios Michailidis • Há 7 anos

Deep learning to the rescue - solving long standing problems of recommender systems

Balázs Hidasi • Há 7 anos

Estratègia de la bicicleta

Ajuntament de Barcelona • Há 7 anos

Large-scale graph processing with Apache Flink @GraphDevroom FOSDEM'15

Vasia Kalavri • Há 8 anos

Deep Learning through Examples

Sri Ambati • Há 8 anos

Algorithmic Music Recommendations at Spotify

Chris Johnson • Há 9 anos

Tutorial on People Recommendations in Social Networks - ACM RecSys 2013,Hong Kong

Anmol Bhasin • Há 9 anos

You Suck At PowerPoint!

Jesse Desjardins - @jessedee • Há 10 anos

Big data Big Analytics

Ajay Ohri • Há 10 anos

Staff Research Scientist at Google in London. Research on Machine Learning for Recommender Systems. I’m also the author of kernlab, a fairly popular open source Machine Learning package for R. Used to teach courses on “Deep Learning” and “Computational Machine Learning” at the Graduate School of Economics Masters Course in Data Science in Barcelona and at the GSE Data Science Summer School.Screen Shot 2016-06-13 at 09.46.37l-cBrf_6 Received my PhD in Machine Learning from the Vienna University of Technology, while also being a frequent visitor at the Statistical Machine Learning group at NICTA in Canberra, Australia.