- Presentations
- Documents
- Infographics
Optimization for Deep Learning
Sebastian Ruder
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6 years ago
Frontiers of Natural Language Processing
Sebastian Ruder
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5 years ago
Recsys 2016 tutorial: Lessons learned from building real-life recommender systems
Xavier Amatriain
•
7 years ago
Modern real-time streaming architectures
Arun Kejariwal
•
6 years ago
DataEngConf 2017 - Machine Learning Models in Production
Sharath Rao
•
7 years ago
Deep Learning on Apache® Spark™: Workflows and Best Practices
Databricks
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7 years ago
Is that a Time Machine? Some Design Patterns for Real World Machine Learning Systems
Justin Basilico
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7 years ago
Open Source Tools & Data Science Competitions
odsc
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8 years ago
Kaggle Winning Solution Xgboost algorithm -- Let us learn from its author
Vivian S. Zhang
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8 years ago
Developing Data Products
Peter Skomoroch
•
11 years ago
Kaggle Otto Challenge: How we achieved 85th out of 3,514 and what we learnt
Eugene Yan Ziyou
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8 years ago
Surge: Rise of Scalable Machine Learning at Yahoo!
DataWorks Summit
•
8 years ago
SF Big Analytics & SF Machine Learning Meetup: Machine Learning at the Limit By Prof. John Canny
Chester Chen
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9 years ago
Case-based Recommender Systems for Personalized Finance Advisory
Cataldo Musto
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9 years ago
Winning data science competitions, presented by Owen Zhang
Vivian S. Zhang
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9 years ago
Feature Engineering
odsc
•
8 years ago
Factorization Machines with libFM
Liangjie Hong
•
11 years ago
MLConf Seattle 2015 - ML@Quora
Xavier Amatriain
•
9 years ago
ArnoCandelScalabledatascienceanddeeplearningwithh2o_gotochg
Sri Ambati
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9 years ago
Deep Learning as a Cat/Dog Detector
Roelof Pieters
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9 years ago