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 WORLDS 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 .

OVERVIEW

The site musicdatascience.com currently has an average traffic ranking of zero (the lower the better). We have inspected nine pages within the domain musicdatascience.com and found four websites associating themselves with musicdatascience.com. There is one contacts and addresses for musicdatascience.com to help you reach them. There is three social web accounts linked to musicdatascience.com. The site musicdatascience.com has been on the internet for six hundred and thirty-six weeks, nine days, fourteen hours, and forty-seven minutes.
Pages Crawled
9
Links to this site
4
Contacts
1
Addresses
1
Social Links
3
Online Since
Apr 2012

MUSICDATASCIENCE.COM TRAFFIC

The site musicdatascience.com has seen a fluctuation levels of traffic within the past the year.
Traffic for musicdatascience.com

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MUSICDATASCIENCE.COM HISTORY

The site musicdatascience.com was started on on April 24, 2012. It was last updated on April 25, 2014. This site will expire on the date of April 24, 2016. As of today, it is six hundred and thirty-six weeks, nine days, fourteen hours, and forty-seven minutes old.
REGISTERED
April
2012
UPDATED
April
2014
EXPIRED
April
2016

PERIOD

12
YEARS
2
MONTHS
9
DAYS

LINKS TO DOMAIN

AustralSounds

Wednesday, July 26, 2017. Sunday, September 25, 2016. Synchronizing vim environment accros multiple machines. Although I primarily use Sublime Text, some time ago I decided to become proficient in Vim, to improve my productivity when working gon remote machines. Thursday, January 21, 2016.

Machine Master

R, machine learning, tools, graphics and fun! Saturday, May 28, 2016. My first deep learning steps with Google and Udacity. I did my first steps in deep learning by taking the deep learning course at Udacity. Deep learning is a hot topic. Deep neural networks can classify images, describe scenes, translate text and do so much more. Image originally shows me hiking in Switzerland.

WHAT DOES MUSICDATASCIENCE.COM LOOK LIKE?

Desktop Screenshot of musicdatascience.com Mobile Screenshot of musicdatascience.com Tablet Screenshot of musicdatascience.com

CONTACTS

identity-secured.com

Identity Secured

See http://www.identity-secured.com/ for details 2 Castle Quay

Nottingham, NG7 1FW

GB

MUSICDATASCIENCE.COM SERVER

We observed that a lone page on musicdatascience.com took one thousand four hundred and six milliseconds to come up. We could not discover a SSL certificate, so therefore our parsers consider this site not secure.
Load time
1.406 secs
SSL
NOT SECURE
Internet Protocol
192.185.149.118

NAME SERVERS

ns.heartinternet.co.uk
ns2.heartinternet.co.uk

SERVER OS

We detected that this website is employing the nginx/1.12.2 server.

HTML TITLE

MUSIC DATA SCIENCE

DESCRIPTION

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 WORLDS 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 .

PARSED CONTENT

The site musicdatascience.com states the following, "EMI 1 Million Interview Dataset." We noticed that the webpage also said " Tweet about this project using hashtag musicdata." It also stated " CAN YOU PREDICT WHO WILL LOVE A NEW SONG? MUSIC AND DATA SCIENCE COMMUNITIES TEAM UP ON THE WORLDS 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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