3 dic 2018
#25: Laura Noren: The Ethics of Data Science
55 minutes
Podcast · Inglés
Data Journeys
AJ Goldstein
Data Journeys is a podcast for aspiring Data Scientists by AJ Goldstein, where he interviews world-class Data Scientists about their learning journeys. The focus is on how they’ve bridged the gap between acquiring technical skills and creating real-world impact. In each episode, the goal is to equip up-and-comers with the strategies, tactics, and tools that the best in the world have used to get to where they are today.
Episodios
Ordenados por fecha de publicación.
27 nov 2018
#24: Brian McFee: Music and Data Science
59 minutes
19 nov 2018
#23: Wes McKinney - The Creator of Pandas
1 hour
13 nov 2018
#22: Mike Tamir: Identifying Fake News with the Head of Data Science at Uber ATG
55 minutes
27 ago 2018
#21 Frank Diana- The Future of AI - Predicting Preparing Thriving in Our Changing Future
1 hour 7 minutes
20 ago 2018
#20: Kyle Polich: Skepticism and Simplifying Complex Topics with the Host of the Data Skeptic Podcast
1 hour 6 minutes
13 ago 2018
#19: Emily Glassberg Sands: Equalizing Access to Rewarding Careers as Head of Data Science at Coursera
1 hour 14 minutes
6 ago 2018
#18: Dan Hammer: Democratizing Environmental Data at the White House, NASA, National Geographic, and More
1 hour 1 minute
30 jul 2018
#17: Decoding Healthy Meals & Learning the World of Food with Sivan Aldor-Noiman and Erik Andrejko @ Wellio
54 minutes
30 jul 2018
#17: Decoding Healthy Meals & Learning the World of Food with Sivan Aldor-Noiman and Erik Andrejko @ Wellio
54 minutes
23 jul 2018
#16: Jim Guszcza: Chief Data Scientist at Deloitte Consulting
57 minutes
16 jul 2018
#15: Travis Oliphant: Creating, Evolving, & Funding Open-Source Software
1 hour 5 minutes
16 jul 2018
#15: Travis Oliphant: Creating, Evolving, & Funding Open-Source Software
1 hour 5 minutes
9 jul 2018
#14: Drew Conway – Applying Data Science to Where It’s Needed Most
1 hour 11 minutes
2 jul 2018
#13: Anthony Scriffignano: Developing Cultural Awareness & Global Perspective Through International Data Science
51 minutes
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