Ken's Nearest Neighbors
Un podcast de Ken Jee
Catégories:
197 Épisodes
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Why He Left Google DeepMind at the Peak of AI Hype (Aleksa Gordić) - KNN Ep. 156
Publié: 28/06/2023 -
Q&A: Job Market, LLMs, Future of Data Science - KNN Ep. 155
Publié: 21/06/2023 -
What You Can Learn from a "Normal Guy" Pursuing Data Science (Nash Mundondo) - KNN Ep. 154
Publié: 14/06/2023 -
Understanding Data Privacy in the Age of AI (Katharine Jarmul) - KNN Ep. 153
Publié: 07/06/2023 -
Finding Your Tribe in the Tech World (Rabie Zahri and Zaheer Ali) - KNN Ep. 152
Publié: 31/05/2023 -
Finding Your Perfect Career in the Age of AI (Tina Huang) - KNN Ep. 151
Publié: 24/05/2023 -
Risking it all to Join a Stealth Startup (Mark Freeman) - KNN Ep. 150
Publié: 17/05/2023 -
What Makes Someone Stay in Data Science (Richad Nieves-Becker) - KNN Ep. 149
Publié: 10/05/2023 -
Why the Best Teachers Learn Alongside You (Kevin Markham) - KNN Ep. 148
Publié: 04/05/2023 -
I Interview ChatGPT (GPT-4) - KNN Ep. 147
Publié: 26/04/2023 -
How to Craft a Fulfilling Career by Embracing Your Authentic Self (Jess Ramos) - KNN Ep. 146
Publié: 19/04/2023 -
What Does ChatGPT Mean for Students, Teachers, and Kagglers? (Ruchi Bhatia) - KNN Ep. 145
Publié: 12/04/2023 -
Seeds of Innovation: Data Science's Role in Agribusiness (Serg Masís) - KNN Ep. 144
Publié: 05/04/2023 -
The Myth of Job Security in Big Tech (Michael Galarnyk) - KNN Ep. 143
Publié: 29/03/2023 -
The Best Way for Universities to Prepare Data Science Students? (Greg Hogg) - KNN Ep. 142
Publié: 22/03/2023 -
Inside the Kaggle Grandmaster Team at NVIDIA (Theo Viel) - KNN Ep. 141
Publié: 15/03/2023 -
Rage Quitting SF (Tina Huang and Zach Wilson) - KNN Ep. 140
Publié: 08/03/2023 -
The Modern Data Stack: Everything You Need to Know (Chris Tabb) - KNN Ep. 139
Publié: 01/03/2023 -
Where AI Meets Religion and Psychedelics (David Gonzalez) - KNN Ep. 138
Publié: 22/02/2023 -
The Data Project too Risky to Share in an Interview (Zach Quinn) - KNN Ep. 137
Publié: 15/02/2023
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.
