Ken's Nearest Neighbors
En podcast af Ken Jee
Kategorier:
197 Episoder
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Using GPT-3 To Automate Dating and Work (Dmitri Mirakyan) - KNN Ep.116
Udgivet: 14.9.2022 -
Why He Left His Startup To Pursue Data Science Tutorials on YouTube (Keith Galli) - KNN Ep 115
Udgivet: 7.9.2022 -
What You're Getting Wrong about Data Vis - According to a UX Designer (Thomas Watkins) - KNN Ep 114
Udgivet: 31.8.2022 -
Why He Shared His Tech Salary on LinkedIn (Zach Wilson R2) - KNN Ep. 113
Udgivet: 24.8.2022 -
The Man Behind the Bam! (Josh Starmer Round 2) - KNN Ep. 112
Udgivet: 17.8.2022 -
Data Analytics YouTuber Faceoff! (Luke Barousse & Alex Freberg) - KNN Ep. 111
Udgivet: 10.8.2022 -
Everything You Need to Know About ML Ops (Miki Bazeley) - KNN Ep. 110
Udgivet: 2.8.2022 -
Recession Planning for Data Scientists(Shailvi Wakhlu) - KNN Ep. 109
Udgivet: 27.7.2022 -
Answering Your Anonymous Questions (Data Science Masters, Learning, Salary) KNN Ep. 108
Udgivet: 20.7.2022 -
Navigating The Maker vs Manager Tradeoff (Jared Dean) - KNN Ep. 107
Udgivet: 13.7.2022 -
How Analytics Fits into a Competitive Jiu Jitsu Career (Breylor Grout) - KNN Ep. 106
Udgivet: 6.7.2022 -
Can Data Science Be Beautiful? (Thu Vu) - KNN Ep. 105
Udgivet: 29.6.2022 -
How a Sports Agent Uses Data Science (Ian Greengross) - KNN Ep. 104
Udgivet: 22.6.2022 -
What Comes After Landing Your Dream Data Science Job? (Jeff Li Round 2) - KNN Ep. 103
Udgivet: 15.6.2022 -
Lost After College to Top Data Scientist (Kristen Kehrer) - KNN Ep. 102
Udgivet: 8.6.2022 -
How He Made Learning to Code Completely Free (Quincy Larson) - KNN Ep. 101
Udgivet: 1.6.2022 -
[Special] A Parent's Perspective on Our Work (Art Jee) - KNN Ep. 100
Udgivet: 25.5.2022 -
The Power of Bringing People Together (Tina Huang & Luke Barousse ) - KNN Ep. 99
Udgivet: 18.5.2022 -
Behind the Scenes of a Data Science Movie (Hunter Kempf) - KNN Ep. 98
Udgivet: 11.5.2022 -
What Is A Tech Lead REALLY? (Zach Wilson) - KNN Ep. 97
Udgivet: 4.5.2022
The Ken's Nearest Neighbors Podcast is about telling the unique stories of the people in the data and AI space. In highly technical fields, we often lose sight of the individuals who are making the positive change. The podcast focuses on who these people are and how they have approached the big decisions in their life that shaped their world view and career. While the podcast is centered on a technical domain, the conversations often touch on personal philosophy, the pursuit of meaning, and how we define success in our career and lives.
