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Netflix Research: Machine Learning Platform

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In practice, large-scale applied Machine Learning (ML) requires substantial infrastructure and systems engineering investment. Although we’re most well-known for early work in personalized recommendations, the sophistication and breadth of ML algorithms and applications at Netflix have grown substantially over the last few years. Today our main challenge is to scale machine learning in heterogeneous language environments across several domains and at all stages of a project’s lifecycle, including ad-hoc exploration, preparing training data, model development, and robust production deployment.
Netflix Research: Machine Learning Platform
Netflix Research: Machine Learning
Netflix Research: Machine Learning
What is Netflix Research?
How Netflix uses Machine Learning? | ML Use Cases | How Does Netflix Work?
Netflix uses machine learning for a lot more than just recommendations
Evolving the ML Platform Organisation at Netflix: A Case Study • Julie Amundson • YOW! 2021
How Netflix Data Science Powers Global Entertainment | Caitlin Smallwood (Netflix)
Netflix Research: Experimentation
WSAI 2018 - Netflix, Dr. Tony Jebara, Director of Machine Learning Research
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How Netflix Built Their ML Infrastructure
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Jupyter at Netflix - Kyle Kelley (Netflix)
Netflix Research: Experimentation & Causal Inference
Netflix Research: Recommendations
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