michaelmaverick
2
Followers
- Präsentationen
- Dokumente
- Infografiken
Optimization for Deep Learning
Sebastian Ruder
•
Vor 6 Jahren
Frontiers of Natural Language Processing
Sebastian Ruder
•
Vor 5 Jahren
Recsys 2016 tutorial: Lessons learned from building real-life recommender systems
Xavier Amatriain
•
Vor 7 Jahren
Modern real-time streaming architectures
Arun Kejariwal
•
Vor 6 Jahren
DataEngConf 2017 - Machine Learning Models in Production
Sharath Rao
•
Vor 7 Jahren
Deep Learning on Apache® Spark™: Workflows and Best Practices
Databricks
•
Vor 7 Jahren
Is that a Time Machine? Some Design Patterns for Real World Machine Learning Systems
Justin Basilico
•
Vor 7 Jahren
Open Source Tools & Data Science Competitions
odsc
•
Vor 8 Jahren
Kaggle Winning Solution Xgboost algorithm -- Let us learn from its author
Vivian S. Zhang
•
Vor 8 Jahren
Developing Data Products
Peter Skomoroch
•
Vor 11 Jahren
Kaggle Otto Challenge: How we achieved 85th out of 3,514 and what we learnt
Eugene Yan Ziyou
•
Vor 8 Jahren
Surge: Rise of Scalable Machine Learning at Yahoo!
DataWorks Summit
•
Vor 8 Jahren
SF Big Analytics & SF Machine Learning Meetup: Machine Learning at the Limit By Prof. John Canny
Chester Chen
•
Vor 9 Jahren
Case-based Recommender Systems for Personalized Finance Advisory
Cataldo Musto
•
Vor 9 Jahren
Winning data science competitions, presented by Owen Zhang
Vivian S. Zhang
•
Vor 9 Jahren
Feature Engineering
odsc
•
Vor 8 Jahren
Factorization Machines with libFM
Liangjie Hong
•
Vor 11 Jahren
MLConf Seattle 2015 - ML@Quora
Xavier Amatriain
•
Vor 8 Jahren
ArnoCandelScalabledatascienceanddeeplearningwithh2o_gotochg
Sri Ambati
•
Vor 9 Jahren
Deep Learning as a Cat/Dog Detector
Roelof Pieters
•
Vor 9 Jahren