PyData Berlin Meetup: The „why“ behind data science
26. Feb
Often talks about data science focus on tools and methods. Tools are important and it is really important to stay up to date with the latest tools and technologies (they are the “how”). But data science is also about finding good problems and solving them (the “why”). Good problems are ones that are both valuable (someone really wants an answer) and tractable (there is data you can find to help you answer it). Today, with modern technologies, many more problems are tractable than ever before; lots of data is freely available on the internet and sensors make it easy to collect ad hoc data sets. This talk will emphasize the importance of asking “why” by exploring a few examples from Datascope’s client work and our various side projects where, if we hadn’t asked “why”, the outcomes would have been far less useful.
The speaker
Gabe Gaster is a data scientist at Datascope Analytics, a data science firm based out of Chicago. There, Gabe has worked on projects in the internet of things, market research for R&D, and visualizing bike transportation. Gabe also helped develop the recommender system for SimpleRelevance, and teaches math at the Chicago Math Circle.
Jetzt anmelden
Die Veranstaltung findet am 26. Februar 2015 ab 19:00 Uhr im BASE_camp statt. Anmelden kann man sich hier.
26. Feb
Wir weisen darauf hin, dass bei unseren öffentlichen Veranstaltungen auch Bild- und Tonmaterial in Form von Fotos oder Videoaufzeichnungen durch von uns beauftragte oder akkreditierte Personen und Dienstleister erstellt wird. Die Aufnahmen werden für die Event-Dokumentation und Event- Kommunikation auf den Social-Media-Kanälen des BASECAMP genutzt. Sie haben das Recht auf Information und weitere Betroffenenrechte. Informationen zu unseren Datenverarbeitungen sowie Ihren Betroffenenrechten finden Sie hier.