romovpa

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machine learning data science kaggle big data games coursework structured output learning optimization popularity prediction howpop blogs hackathon hse students projects xgboost upselling upselling prediction data science competitions анализ данных Тренировки машинное обучение dota 2 cikm topic models school data mining higher education recsys factorization models matrix factorization recommenders collaborative filtering contrastive divergence learning image processing mrf modelling support vector machine combinatorics graph cuts

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romovpa

Präsentationen

Глобальная дискретная оптимизация при помощи разрезов графов

Структурное обучение и S-SVM

Fields of Experts (доклад)

Структурный SVM и отчет по курсовой

Факторизационные модели в рекомендательных системах

RecSys Challenge 2015: ensemble learning with categorical features

Машинное обучение с элементами киберспорта

Non-Bayesian Additive Regularization for Multimodal Topic Modeling of Large Collections

Dota Science: Роль киберспорта в обучении анализу данных

A Simple yet Efficient Method for a Credit Card Upselling Prediction

Проекты для студентов ФКН ВШЭ

Applications of Machine Learning in DOTA2: Literature Review and Practical Knowledge Sharing

Машинное обучение для ваших игр и бизнеса

Gefällt mir

Uplift Modeling Workshop

Winning data science competitions, presented by Owen Zhang

Ph.D. Defense: Models and Algorithms for PageRank sensitivity

Best Practices in Recommender System Challenges

From a toolkit of recommendation algorithms into a real business: the Gravity R&D experience (talk given at Recsys 2012)

Approximate modeling of continuous context in factorization algorithms (CaRR14 presentation)

Algorithms on Hadoop at Last.fm

Algorithmic Music Recommendations at Spotify

Collaborative Filtering at Spotify

Efficient Top-N Recommendation by Linear Regression

Research at last.fm

Offline evaluation of recommender systems: all pain and no gain?

Machine Learning