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This Meetup is cancelled

Music Data Science HackCamp: Competition & Hackathon

  • The Hub Westminster

    First floor, New Zealand House, 80 Haymarket, SW1Y 4TE, London (map)

    51.507904 -0.131782

  • Joins us again for a fun, hackful, and exciting 24h, non-stop Data Science event.

    A community event. Meet data geeks and music geeks, compete applying your data sience skills or do music hacks, and enjoy talking and sharing ideas to other people.

    Don't know what is a Data Science London Hackathon like?? How I survived a Data Science London Hackathon http://bit.ly/Jt2oDo

    This event has TWO Streams. Choose one stream only to register.

    You can only register for one stream.

    You can't register for both streams.

    Both streams will start and end at the same time

    1. Stream One: Music Data Science Competition: You'll be presented with a challenge (a music business problem.) You'll be provided with a large music dataset. You will have to apply your data science skills and knowledge to solve the problem. Best analytical/predictive model wins. Prizes £££ awarded at global and local level.

    2. Stream Two: Music Data Hackathon: You will be provided with access to OPEN EMI APIs and other APIs to. Do your own hack. A panel of music experts will judge your hack. Best hack according to panel wins prizes.

    When:

    Where: The Hub Westminster, First floor, New Zealand House, 80 Haymarket, SW1Y 4TE , London  [masked]http://hubwestminster.net/space

    The venue opens at 9.30 am on Saturday Jun 23rdIf you arrive after 11am you will not be able to participate in the competition.The competition starts at 1pm London time Saturday, June 24thUpon arrival to the venue you will have to register at the reception desk.The reception desk should have your name in the list of participants.If you have not registered in evenbrite you will not be in the list. If you are not in the list, you will not be able to participate. Competition ends June, 24th Sunday at 1pm. Prizes to be announced: Event ends: 3pm

    • You will be provided with 3 proper quality meals (lunch/dinner/breakast), unlimited drinks, coffee & snacks of all kinds.
    • High-speed 100Mbps Internet will be available, 12 super HS Wi-Fi routers
    • Fantastic ergonomic chairs, furniture, and comfy sofas.
    • 12,000 sq ft of open, airy space
    • Shower facilities and resting area available at the venue
    • Please bring your own laptop and any tools you want.
    • Please bring your own sleeping mattress and sleeping bag.
    • Lots of goodies!
    • FUN, FUN, FUN

    Useful Information regarding Stream One: Music Data Science Competition: You will be provided with access to the competition web platform via Kaggle. Upon selection of the competition title Music Data Science Hackathon, you will be able to read the challenge, and access and download the dataset.You can download the dataset to your laptop and you can use your own tools.You will be provided with free access to Amazon AWS cloud services should you choose to run computational jobs there or require more storage capacity. You don't have to use AWS if you don't want. You will provided with free access to EMC/Greenplum Hadoop and Database Community editions and other Greenplum analytical tools. You don't have to use these tools if you don't want to.



     

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