Ken's Nearest Neighbors
En podcast af Ken Jee
Kategorier:
193 Episoder
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Finding Your Tribe in the Tech World (Rabie Zahri and Zaheer Ali) - KNN Ep. 152
Udgivet: 31.5.2023 -
Finding Your Perfect Career in the Age of AI (Tina Huang) - KNN Ep. 151
Udgivet: 24.5.2023 -
Risking it all to Join a Stealth Startup (Mark Freeman) - KNN Ep. 150
Udgivet: 17.5.2023 -
What Makes Someone Stay in Data Science (Richad Nieves-Becker) - KNN Ep. 149
Udgivet: 10.5.2023 -
Why the Best Teachers Learn Alongside You (Kevin Markham) - KNN Ep. 148
Udgivet: 4.5.2023 -
I Interview ChatGPT (GPT-4) - KNN Ep. 147
Udgivet: 26.4.2023 -
How to Craft a Fulfilling Career by Embracing Your Authentic Self (Jess Ramos) - KNN Ep. 146
Udgivet: 19.4.2023 -
What Does ChatGPT Mean for Students, Teachers, and Kagglers? (Ruchi Bhatia) - KNN Ep. 145
Udgivet: 12.4.2023 -
Seeds of Innovation: Data Science's Role in Agribusiness (Serg Masís) - KNN Ep. 144
Udgivet: 5.4.2023 -
The Myth of Job Security in Big Tech (Michael Galarnyk) - KNN Ep. 143
Udgivet: 29.3.2023 -
The Best Way for Universities to Prepare Data Science Students? (Greg Hogg) - KNN Ep. 142
Udgivet: 22.3.2023 -
Inside the Kaggle Grandmaster Team at NVIDIA (Theo Viel) - KNN Ep. 141
Udgivet: 15.3.2023 -
Rage Quitting SF (Tina Huang and Zach Wilson) - KNN Ep. 140
Udgivet: 8.3.2023 -
The Modern Data Stack: Everything You Need to Know (Chris Tabb) - KNN Ep. 139
Udgivet: 1.3.2023 -
Where AI Meets Religion and Psychedelics (David Gonzalez) - KNN Ep. 138
Udgivet: 22.2.2023 -
The Data Project too Risky to Share in an Interview (Zach Quinn) - KNN Ep. 137
Udgivet: 15.2.2023 -
Creating Career Insurance in the Age of Tech Layoffs (Matt Harrison) - KNN Ep. 136
Udgivet: 8.2.2023 -
Why are Data Science Jobs Disappearing? (Jay Feng) - KNN Ep. 135
Udgivet: 1.2.2023 -
From Highschool Teacher to Data Science Leader (Ben Doremus) - KNN Ep. 134
Udgivet: 25.1.2023 -
The Future of Data Engineering (Joe Reis and Matt Housley) - KNN Ep. 133
Udgivet: 18.1.2023
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.
