Ken's Nearest Neighbors
En podcast af Ken Jee
Kategorier:
193 Episoder
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Confronting the Biggest Problem with the Data Science Interview (Jack Blandin) - KNN Ep. 172
Udgivet: 1.11.2023 -
The Difference Between Working at Google and Founding a Startup (Mike Dezube) - KNN Ep. 171
Udgivet: 25.10.2023 -
The Surprising Importance of Timing on AI Innovation (Marinela Profi) - KNN Ep. 170
Udgivet: 18.10.2023 -
How a Book Landed Him His Dream Job (Tyler Richards) - KNN Ep. 169
Udgivet: 11.10.2023 -
How He Became the Biggest Podcaster in Data Science (Jon Krohn) - KNN Ep. 168
Udgivet: 20.9.2023 -
Why He Quit Being an Analytics Manager ( @AlexTheAnalyst ) - KNN Ep. 167
Udgivet: 15.9.2023 -
250,000 Subscriber Q&A!! - KNN Ep. 166
Udgivet: 6.9.2023 -
How Companies and Data Scientists Can Capitalize on the AI Boom (Vin Vashishta) - KNN Ep. 165
Udgivet: 30.8.2023 -
From Unemployed Subscriber to Director in 3 Years (Ray Ojel) - KNN Ep. 164
Udgivet: 23.8.2023 -
Why Data Scientists Should Break Things (Daniel Parris) - KNN Ep. 163
Udgivet: 16.8.2023 -
Leaving Google and BCG to Start Their Own Data Firm (Gleb Drobkov & Mike Dezube) - KNN Ep. 162
Udgivet: 9.8.2023 -
How AI is Altering Music Forever (Ale Koretzky) - KNN Ep. 161
Udgivet: 3.8.2023 -
What is Langchain and Why Will it Change the World? (Greg Kamradt) - KNN Ep. 160
Udgivet: 26.7.2023 -
What Separates High Output Data Scientists from the Rest? (Jeff Li) - KNN Ep. 159
Udgivet: 19.7.2023 -
Why RStudio is now Posit (J.J. Allaire | Posit CEO) - KNN Ep. 158
Udgivet: 12.7.2023 -
How He Became a Data Strangler (Abe Diaz) - KNN Ep. 157
Udgivet: 5.7.2023 -
Why He Left Google DeepMind at the Peak of AI Hype (Aleksa Gordić) - KNN Ep. 156
Udgivet: 28.6.2023 -
Q&A: Job Market, LLMs, Future of Data Science - KNN Ep. 155
Udgivet: 21.6.2023 -
What You Can Learn from a "Normal Guy" Pursuing Data Science (Nash Mundondo) - KNN Ep. 154
Udgivet: 14.6.2023 -
Understanding Data Privacy in the Age of AI (Katharine Jarmul) - KNN Ep. 153
Udgivet: 7.6.2023
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.
