EPISODE · May 31, 2019 · 1H 12M
Episode 08: Kirk Borne - Data science storyteller and influencer
from Origins Podcast with Ryan McGranaghan · host Ryan McGranaghan
Show Notes: Geodesics (12:40) Booz Allen Hamilton (21:00) Kirk ’surprised’ himself through the cognitive ability test at a job interview - the idea of surprising ourselves through exposing ourselves to new ideas (25:00) "Cognitive view of the whole, and not just a narrow silo’ed view - the bias buster” - systems thinking (26:40) Underfitting and Overfitting (27:00) Data Science: the application of scientific discovery from data (30:00) ‘Miracle Year of Physics’ - Albert Einstein’s immaculate year (32:00) The Hubble Telescope (35:50) “Any job worth doing, is worth doing poorly” (37:50) “All models are wrong, but some are useful” - George Box (38:30) “Fail fast to learn fast” - discussed in Tim Ferriss’ conversation with Google’s Astro Teller (40:30) Palomar Mountain (46:00) Kirk’s approach to information deluge (47:00) Data literacy (48:45) We discuss the ‘lens’ we each put on the world - here’s a brilliant take on the subject by Maria Popova (51:30) "The message is in the madness” (57:00) Lighting Round: Book: Language in thought and action by Hayakawa (01:05:30) Family has been most important to setting Kirk’s trajectory Making his hear sing: contribution to a book “Demystifying AI for the enterprise” (59:40) Kirk’s Five-Cut FridaysFind Kirk online: Twitter: @KirkDBorne LinkedInPersonal blog: http://rocketdatascience.org/ Find us at originspodcast.co
What this episode covers
Show Notes: Geodesics (12:40) Booz Allen Hamilton (21:00) Kirk ’surprised’ himself through the cognitive ability test at a job interview - the idea of surprising ourselves through exposing ourselves to new ideas (25:00) "Cognitive view of the whole, and not just a narrow silo’ed view - the bias buster” - systems thinking (26:40) Underfitting and Overfitting (27:00) Data Science: the application of scientific discovery from data (30:00) ‘Miracle Year of Phy...
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Episode 08: Kirk Borne - Data science storyteller and influencer
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