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MUSIC DATA SCIENCE

Music Data Science Day. EMI 1 Million Interview Dataset. Music Data Science Hackathon. Challenge & Prizes. Tweet about this project using hashtag #musicdata. CAN YOU PREDICT WHO WILL LOVE A NEW SONG? MUSIC AND DATA SCIENCE COMMUNITIES TEAM UP ON THE WORLD’S LARGEST MUSIC APPRECIATION DATA SET. Collaboration between music and data science communities to extract insights from the richest and largest music appreciation dataset ever shared – the EMI Million Interview dataset. Data scientists will have their ...

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MUSIC DATA SCIENCE | musicdatascience.com Reviews

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Music Data Science Day. EMI 1 Million Interview Dataset. Music Data Science Hackathon. Challenge & Prizes. Tweet about this project using hashtag #musicdata. CAN YOU PREDICT WHO WILL LOVE A NEW SONG? MUSIC AND DATA SCIENCE COMMUNITIES TEAM UP ON THE WORLD’S LARGEST MUSIC APPRECIATION DATA SET. Collaboration between music and data science communities to extract insights from the richest and largest music appreciation dataset ever shared – the EMI Million Interview dataset. Data scientists will have their ...

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MUSIC DATA SCIENCE | musicdatascience.com Reviews

https://musicdatascience.com

Music Data Science Day. EMI 1 Million Interview Dataset. Music Data Science Hackathon. Challenge & Prizes. Tweet about this project using hashtag #musicdata. CAN YOU PREDICT WHO WILL LOVE A NEW SONG? MUSIC AND DATA SCIENCE COMMUNITIES TEAM UP ON THE WORLD’S LARGEST MUSIC APPRECIATION DATA SET. Collaboration between music and data science communities to extract insights from the richest and largest music appreciation dataset ever shared – the EMI Million Interview dataset. Data scientists will have their ...

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musicdatascience.com

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Music Data Science Day

http://musicdatascience.com/musicdatascienceday

Music Data Science Day. EMI 1 Million Interview Dataset. Music Data Science Hackathon. Challenge & Prizes. Tweet about this project using hashtag #musicdata. Music Data Science Day. Presentations from event held on May 28th, 2012. 8220;Data Science for Live Music” Phil Cowans. 8221;Research at Last.fm” Mark Levy. 8220;Envisioning a Data Driven Music Industry” Jeremy Silver. 8220;Music and Data: Adding Up the UK Music Industry”. Music Data Science Day. If you love Music and Data this is your day! 100pm &#...

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http://musicdatascience.com/about-ds_ldn

Music Data Science Day. EMI 1 Million Interview Dataset. Music Data Science Hackathon. Challenge & Prizes. Tweet about this project using hashtag #musicdata. Ds ldn is a non-profit organization dedicated to the free, open, dissemination of data science. Our members are 880 data scientists and data geeks. We believe ‘Big Data’ is the main driver for a new large scale data analytical paradigm. 8216;Big Data’ for us means the 4 Vs of large scale data: Velocity, Variation, Variety, and Volume too. The ideas,...

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Partners

http://musicdatascience.com/sponsors

Music Data Science Day. EMI 1 Million Interview Dataset. Music Data Science Hackathon. Challenge & Prizes. Tweet about this project using hashtag #musicdata. Kaggle is an innovative solution for statistical/analytics outsourcing. We are the leading platform for predictive modeling competitions. Companies, governments and researchers present datasets and problems – the world’s best data scientists then compete to produce the best solutions. www.kaggle.com. Copiright 2016 musicdatascience.com.

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News

http://musicdatascience.com/the-music-data-science-project

Music Data Science Day. EMI 1 Million Interview Dataset. Music Data Science Hackathon. Challenge & Prizes. Tweet about this project using hashtag #musicdata. June 13, 2012. Tweet about this project using hashtag #musicdata. The Science of Music. An analysis published in Scientific Reports by Joan Serrà of the Artificial Intelligence Research Institute in Barcelona and his colleagues has found that music has indeed become both more homogeneous and louder over the decades. Read more via The Economist.

5

Winners

http://musicdatascience.com/the-winners

Music Data Science Day. EMI 1 Million Interview Dataset. Music Data Science Hackathon. Challenge & Prizes. Tweet about this project using hashtag #musicdata. WINNERS – MUSIC DATA SCIENCE HACKATHON, 21st of JULY 2012. All the winners have documented and open sourced their code. 1st PRIZE WINNER -. Shanda Innovations (Yunwen Chen, ChaosKnight, Yingwei Xin, Daqi Ji, Wgwang, Zuotao Liu). See picture, interview with Shanda Innovations team, their documented approach and code in github here. 2nd PRIZE WINNER -.

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machine-master.blogspot.com

Machine Master: July 2012

http://machine-master.blogspot.com/2012_07_01_archive.html

R, machine learning, tools, graphics and fun! Monday, July 23, 2012. Music Data Hackathon 2012 - Beginner's view. When I first heard of the existence of Hackathons (receive a data set, predict the response as good as possible, win money. All within 24 hours), I had two thoughts:. 1 Wow, that sounds greats. Like a huge game for intelligent people. 2 My skills are not good enough to participate. And decided to take part. The cool thing about it was, that it was hosted by kaggle. But at least it performed b...

australsounds.com

AustralSounds: ML & MIR

http://www.australsounds.com/p/ml-mir.html

Just another personal reference log. Here are some useful links on Machine Learning (ML) and Music Information Retrieval(MIR) I've come across. Http:/ scikit-learn.org/stable/modules/svm.html. Http:/ work.caltech.edu/library/. Http:/ ufldl.stanford.edu/wiki/index.php/Main Page. Http:/ www.iro.umontreal.ca/ bengioy/papers/ftml book.pdf. Http:/ www.cs.toronto.edu/ hinton/. Http:/ www.iro.umontreal.ca/ bengioy/. Http:/ ai.stanford.edu/ ang/. Http:/ www.idsia.ch/ juergen/. Http:/ yann.lecun.com/.

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MUSIC DATA SCIENCE

Music Data Science Day. EMI 1 Million Interview Dataset. Music Data Science Hackathon. Challenge & Prizes. Tweet about this project using hashtag #musicdata. CAN YOU PREDICT WHO WILL LOVE A NEW SONG? MUSIC AND DATA SCIENCE COMMUNITIES TEAM UP ON THE WORLD’S LARGEST MUSIC APPRECIATION DATA SET. Collaboration between music and data science communities to extract insights from the richest and largest music appreciation dataset ever shared – the EMI Million Interview dataset. Data scientists will have their ...

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