Q& Some with Cassie Kozyrkov, Info Scientist from Google
Cassie Kozyrkov, Information Scientist with Google, fairly recently visited the main Metis Records Science Bootcamp to present on the class within our audio series.
Metis instructor along with Data Man of science at Datascope Analytics, Bo Peng, inquired Cassie a few pre-determined questions about your girlfriend work as well as career in Google.
Bo: What is your favorite piece about being data scientist at Yahoo or google?
Cassie: There is a tons of very interesting difficulties to work in, so you do not get bored! Architectural teams in Google inquire excellent issues and it’s enjoyable to be at the front line of nourishing that intense curiosity. Google can be the kind of conditions where you’d expect high impact data projects to be supplemented with some playful ones; like my co-worker and I have got held double-blind food mouth watering sessions with some exotic examen to determine the a large number of discerning taste!
Bo: In your talk, you talk about Bayesian versus Frequentist information. Have you picked out a “side? ”
Cassie: A sizable part of the value as being a statistician is normally helping decision-makers fully understand typically the insights which data can supply into their things. The decision maker’s philosophical pose will will be s/he is comfortable deciding from files and it’s my favorite responsibility for making this as fundamental as possible for him/her, which means that We find ourselves with some Bayesian and some Frequentist projects.