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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

Systems 226
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 100
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Rising Tide Rents and Robber Baron Rents

O'Reilly

Algorithms for search, recommendations, social media feeds, entertainment, and news became the foundation of an enormous new economy. To achieve prosocial outcomes, AI model and application developers need to define the metrics that explicitly aim for those outcomes and then measure and report the extent to which they have been achieved.

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Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 37
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Progress Delayed Is Progress Denied

Alex Russell

Apple Corporate is at fault, not Open Source engineers or the line managers who support them. Another window into this question is provided by the Web Confluence Metrics project. They are, pound for pound, some of the best engine developers globally and genuinely want good things for the web. Converging Views.

Media 145
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Supporting content decision makers with machine learning

The Netflix TechBlog

To mitigate this uncertainty, executives throughout the entertainment industry have always consulted historical data to help characterize the potential audience of a title using comparable titles, if they exist. All models were developed and deployed using metaflow , Netflix’s open source framework for bringing models into production.