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Cassie Kozyrkov, Details Scientist in Google, adverse reports about them visited typically the Metis Data files Science Bootcamp to present for the class during our speaker series.
Metis instructor and even Data Researcher at Datascope Analytics, Bo Peng, requested Cassie a few questions about her work as well as career for Google.
Bo: What is your favorite section about as a data science tecnistions at Research engines?
Cassie: There is a tons of very interesting issues to work upon, so you never ever get bored! Anatomist teams at Google inquire excellent concerns and it's a lot of fun to be at the front part line of attractive that intense curiosity. Google is as well the kind of conditions where you'll expect high impact data assignments to be supplemented with some playful ones; like my acquaintances and I own held double-blind food trying sessions by exotic studies to determine the most discerning palate!
Bo: In your talk, you talk about Bayesian compared to Frequentist stats. Have you identified a "side? "
Cassie: A sizable part of my value for a statistician is usually helping decision-makers fully understand the very insights of which data can offer into their issues. The decision maker's philosophical profile will know very well what s/he is definitely comfortable ending from data and it's our responsibility to make this as easy as possible for him/her, which means that I find me with some Bayesian and some Frequentist projects.
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