Ken's Nearest Neighbors
Un pódcast de Ken Jee
Categorías:
197 Episodo
-
The Past and Future of Healthcare and AI? (Eric Doherty) - KNN Ep. 176
Publicado: 7/12/2023 -
Why His Data Tik-Tok is so Addicting (Elijah Butler) - KNN Ep. 175
Publicado: 29/11/2023 -
Why Your Company May Need a Part Time Chief Data Officer (Eric Gonzalez) - KNN Ep. 174
Publicado: 22/11/2023 -
Life / Podcast Update! - KNN Ep. 173
Publicado: 15/11/2023 -
Confronting the Biggest Problem with the Data Science Interview (Jack Blandin) - KNN Ep. 172
Publicado: 1/11/2023 -
The Difference Between Working at Google and Founding a Startup (Mike Dezube) - KNN Ep. 171
Publicado: 25/10/2023 -
The Surprising Importance of Timing on AI Innovation (Marinela Profi) - KNN Ep. 170
Publicado: 18/10/2023 -
How a Book Landed Him His Dream Job (Tyler Richards) - KNN Ep. 169
Publicado: 11/10/2023 -
How He Became the Biggest Podcaster in Data Science (Jon Krohn) - KNN Ep. 168
Publicado: 20/9/2023 -
Why He Quit Being an Analytics Manager ( @AlexTheAnalyst ) - KNN Ep. 167
Publicado: 15/9/2023 -
250,000 Subscriber Q&A!! - KNN Ep. 166
Publicado: 6/9/2023 -
How Companies and Data Scientists Can Capitalize on the AI Boom (Vin Vashishta) - KNN Ep. 165
Publicado: 30/8/2023 -
From Unemployed Subscriber to Director in 3 Years (Ray Ojel) - KNN Ep. 164
Publicado: 23/8/2023 -
Why Data Scientists Should Break Things (Daniel Parris) - KNN Ep. 163
Publicado: 16/8/2023 -
Leaving Google and BCG to Start Their Own Data Firm (Gleb Drobkov & Mike Dezube) - KNN Ep. 162
Publicado: 9/8/2023 -
How AI is Altering Music Forever (Ale Koretzky) - KNN Ep. 161
Publicado: 3/8/2023 -
What is Langchain and Why Will it Change the World? (Greg Kamradt) - KNN Ep. 160
Publicado: 26/7/2023 -
What Separates High Output Data Scientists from the Rest? (Jeff Li) - KNN Ep. 159
Publicado: 19/7/2023 -
Why RStudio is now Posit (J.J. Allaire | Posit CEO) - KNN Ep. 158
Publicado: 12/7/2023 -
How He Became a Data Strangler (Abe Diaz) - KNN Ep. 157
Publicado: 5/7/2023
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.
