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Isn't response surface methodology a form of topological data analysis? IIRC, it isn't used much since it has poor predictive power.

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The key with Ayasdi's work is that they manage to layer the TDA with different ML filters, which does stunningly well for the datasets they like talking about.

I also second the notion to read papers from the Carlsson lab, particularly one of the more application-oriented papers such as this one: http://www.nature.com/srep/2013/130207/srep01236/pdf/srep012...

The company puts a lot of energy into making Gunnar's work accessible - maybe too much. Dig into his papers sometime.

Could you explain what you mean by "maybe too much"?

Just that the material featured most prominently on the site might be too imprecise for mathematicians and scientists with significant technical expertise. It would be nice if there was a convenient link I could pass along to informed, but highly skeptical, people with a genuine interest in understanding the platform on a deeper level.

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