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As a company that deals with data analysis, Kaggle can surely tell between different levels of user participation. I interpret it charitably as "some fraction
by has2k1 9y ago
As a company that deals with data analysis, Kaggle can surely tell between different levels of user participation.
I interpret it charitably as "some fraction of users forced to register in order to download data go on to become active users of the platform".
- random4369 9y ago> As a company that deals with data analysis, Kaggle can surely tell between different levels of user participation. Kaggle outsources data analysis to bright students willing to work for a tiny fraction of their actual worth. Their business model has nothing to do with their own analytics talent.
- has2k1 9y ago> Their business model has nothing to do with their own analytics talent I recall — some years ago — when they were advertising for Jobs, some of the criteria for potential technical fitness was a high placement in some of the competitions. Plus, I have engaged in a few of the competitions and you have to have a team of capable data scientists to design them. They are not clueless people.
- prepend 9y agoI’m sure they can. But they can also choose not to distinguish a high quality user from a low quality one when promoting their site. For example, this post - http://blog.kaggle.com/2017/06/06/weve-passed-1-million-members/ http://blog.kaggle.com/2017/06/06/weve-passed-1-million-memb... - talks about a million users. But does not say how many are low quality, inactive ones. Or even describe how they filtered out low quality users from their analysis.
- omg_ketchup 9y agoWelcome to marketing?