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Sptoify announced its new Data Science Challenge

Spotify Sequential Skip Prediction Challenge is a part of Cup 2019. The dataset comprises 130M Spotify listening sessions, and the task is to predict if a track is skipped. The challenge is live today, and runs until Jan 4.

Nobody wants to join?

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"When the Nobel prize for physics [was announced], anyone wanting to read on one of the three winners would have drawn a blank on Wikipedia.

The physicist Donna Strickland was not deemed significant enough to merit her own page. When a Wikipedia user attempted to create a profile for her in March, it was denied by a moderator: “This submission’s references do not show that the subject qualifies for a Wikipedia article”.

After, Wikipedia scrambled to build a profile."

Interesting visualization of data breaches over the past year by AI Now Institute (

A nice paper on how to make your ML research more reproducible!

"A Practical Taxonomy of Reproducibility for Machine
Learning Research."

The RAPIDS data science framework includes a collection of libraries for executing end-to-end data science pipelines completely in the GPU.

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