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  • July 5th, 2016 Announcements Recommendation System Machine Learning Building radio stations at SoundCloud By Nicola Bortignon

    Over the last 100 years we have dialed into radio stations at home, on the road, or in the office to access a curated mix of top hits delivered to us by our favorite DJ. With more and more of our daily activities taking place online, we find our source of music now comes from a mix of our mobile phones, our desktop computers and the radio - and is available to us whenever we need it. The amount of music available today is endless. The music scene has never been so vibrant. A proliferation of production tools at low cost and the ease at which an artist can share their sounds, gives everyone the opportunity to share their work at any time, with only a few clicks.

    Keeping this in mind, we set out to determine: How can we bring a radio like experience to SoundCloud that would enable you to tune-in and lean back?

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  • June 21st, 2016 Announcements Recommendation System Machine Learning Core Data Science Can a machine surprise you? We believe so. By Nicola Bortignon

    With more than 125 million tracks from over 12 million creators heard each month on our platform, SoundCloud is uniquely positioned to offer listeners a full spectrum of music discovery.

    Classic hits, the latest releases, gems from underground talent and the best of what’s up-and-coming – all in one place.

    How can you make great content discoverable and available at ease? How can you create a unique experience for every single user?

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