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March 10, 2021 Published by Mårten Schultzberg, Oskar Kjellin, and Johan Rydberg At Spotify we run hundreds of experiments at any given time. Coordinating these experiments, i.e., making sure the right user is receiving the right “treatment” with a population of hundreds of millions of users, poses technical challenges. Adding to the complexity, some of these experiments must be coordinated in the
When it comes to underground music, Japan’s historical capital of Kyoto is often overlooked. Like Tainan in Taiwan, its place in the popular imaginary sits firmly within the realm of traditional culture, while cities like Osaka and Tokyo seem to burst with creative energy. But Kyoto’s pastoral cityscape has also birthed some of Japan’s most forward-thinking musicians. Noise rock heroes Les Rallize
Toby Mao, Sri Sri Perangur, Colin McFarland Another day, another custom script to analyze an A/B test. Maybe you’ve done this before and have an old script lying around. If it’s new, it’s probably going to take some time to set up, right? Not at Netflix. ABlaze: The standard view of analyses in the XP UISuppose you’re running a new video encoding test and theorize that the two new encodes should r
PipelineX is a Python package to build ML pipelines for experimentation with Kedro, MLflow, and more PipelineX provides the following options which can be used independently or together. HatchDict: Python in YAML/JSON HatchDict is a Python dict parser that enables you to include Python objects in YAML/JSON files. Note: HatchDict can be used with or without Kedro. Flex-Kedro: Kedro plugin for flexi
A visual programming environment for audio experimentation, prototyping and education plugdata is a free/open-source visual programming environment based on pure-data. It is available for a wide range of operating systems, and can be used both as a standalone app, or as a VST3, LV2, CLAP or AU plugin. plugdata allows you to create and manipulate audio systems using visual elements, rather than wri
Julie (Novak) Beckley, Andy Rhines, Jeffrey Wong, Matthew Wardrop, Toby Mao, Martin Tingley Ever wonder why Netflix works so well when you’re streaming at home, on the train, or in a foreign hotel? Behind the scenes, Netflix engineers are constantly striving to improve the quality of your streaming service. The goal is to bring you joy by delivering the content you love quickly and reliably every
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