Feature Selection

topic on 2 shows · 3 statements across 3 episodes

the Official SaaStr Podcast the MAD Podcast

3 statements about Feature Selection, every show

SAASTR Insight
Tunguz: Deep learning's breakthrough is automating feature selection and tuning
“The big advance in deep learning, basically, is that deep learning automates both processes.”
Tomasz Tunguz Jun 2, 2017 ▶ 5:26 AI: The New Platform for SaaS
MAD Insight
Biewald: Only five out of 100 feature engineering attempts actually improve models
“Every task that you work on has kind of different different features work better or worse, and I spent, when I first was working as a data scientist, I spent all my time on this feature selection, and as you guys know, you try a hundred things and maybe five o…”
Lukas Biewald Sep 14, 2015 ▶ 2:45 Lukas Biewald, CrowdFlower // Enriching Your Data (Hosted by FirstMark Capital)
MAD Insight
O'Neil: Data problems that bypass feature selection will not yield financial returns
“Feature selection is always gonna be very important. If you have something that's so easy to answer that you don't have to care about feature selection, you're not gonna make any money doing it.”
Cathy O'Neil Dec 5, 2013 ▶ 52:50 Panel Discussion // Data Driven #16 // May 2013

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