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Music Data Science Hackathon #musicdata


As part of the Music Data Science Project #musicdata


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

When: Saturday, 21st of July 2012

Where: The Hub Westminster, First floor, New Zealand House, 80 Haymarket, SW1Y 4TE , London[masked]

What: A community event. Meet data geeks and music geeks, compete applying your data science skills, and enjoy sharing ideas and experiences with other people.

please note: London venue participants must register via Eventbrite

The Competition: You’ll be presented with a music business challenge. 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.

The Challenge: Can you predict if a listener will love a new song?

Dataset: The dataset will be a subset of The EMI One Million Interview dataset

Prizes: There will be £6,000 in cash prizes  and lots of free goodies for the participants (London venue participants are eligible for £4,500 in prizes)


Other Useful information

The venue registration opens at 9.30 am on Saturday, 21st of July 2012

Upon 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.

If you arrive after 11.30am you will not be able to participate in the competition.

Competition starts: Saturday, 21st of July 2012 at 1pm London time

Competition ends:  Sunday, 22nd of July 2012 at 1pm London time

  • 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 spac
  • 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!

You will be provided with access to the competition web platform via Kaggle. Upon selection of the competition title Music Data Science Competition, 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 EMC IT Platform should you choose to run computational jobs there or require more storage capacity. You don’t have to use EMC Platform 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.

Don’t know what is a Data Science London Hackathon like?? How I survived a Data Science London Hackathon

please note: London venue participants must register via Eventbrite


As part of the Music Data Science Project #musicdata


Join or login to comment.

  • A former member
    A former member

    The Hackathon addressed a real life issue, so it had validity in that respect. It was very well run with a great venue, great food and nice freebies. There was an opportunity to team up and meet new people and was great in that respect: I look forward to the next event!

    July 24, 2012

  • Johan F.

    My first but not my last hackathon. Overall a very good experience. I liked that the dataset wasn't too large. 24 hours is not a lot of time and having to struggle with "big data" only takes away from it.

    July 23, 2012

  • Glenn P.

    The music hack was the first event like this that I have attended. What a great group of people. All super smart and great analysts. Really enjoyed it

    July 23, 2012

  • jonny e.

    Well done again carlos - loved it - not as much dialogue with other people this time however this might be just me!

    July 22, 2012

  • King

    Very well organized, and everyone is helpful and friendly as usual.

    July 22, 2012

  • Pavel K.

    It was my first hackhaton about social media, and it was awesome. Now I know how to prepare and what to make better for the next one.

    July 22, 2012

  • sanjeev

    Music n data ,each tell a story if taken care

    July 20, 2012

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