Gesamtlänge aller Episoden: 1 day 7 hours 46 minutes
In the first episode of this podcast recorded in front of a live audience, Renee interviews Andrew Therriault, who was formerly the Director of Data Science for the Democratic National Committee & Chief Data Scientist for the City of Boston, and is
Renee interviews Randal S. Olson, Senior Data Scientist in the Institute for Biomedial Informatics at UPenn about his path to becoming a data scientist, his interesting data science blog posts, and his work with non-data-scientists and students.
Renee interviews Randal S. Olson, Senior Data Scientist in the Institute for Biomedial Informatics at UPenn about his path to becoming a data scientist, his interesting data science blog posts, and his work with non-data-scientists and students.
David Meza is Chief Knowledge Architect at NASA, and talks to Renee in this episode about his educational background, his early work at NASA, and examples of his work with multidisciplinary teams. He also describes a project involving a graph database th
David Meza is Chief Knowledge Architect at NASA, and talks to Renee in this episode about his educational background, his early work at NASA, and examples of his work with multidisciplinary teams. He also describes a project involving a graph database th
In this first episode of Season 2 of Becoming a Data Scientist podcast, we meet Jasmine Dumas, a new data scientist who tells us about going from biomedical engineering into a data science project experience and then finding her first job as a data scien
In this first episode of Season 2 of Becoming a Data Scientist podcast, we meet Jasmine Dumas, a new data scientist who tells us about going from biomedical engineering into a data science project experience and then finding her first job as a data scien
Renee interviews Dr. Ed Felten, the Deputy U.S. Chief Technology Officer, about the Future of Artificial Intelligence
Renee interviews Dr. Ed Felten, the Deputy U.S. Chief Technology Officer, about the Future of Artificial Intelligence
I was invited to join in with 7 other data people to talk about the US election and the subsequent major questions surrounding the forecasts, since basically all of them heavily leaned toward a different overall outcome. You will recognize many of the pe