Ken's Nearest Neighbors
A podcast by Ken Jee
Categories:
193 Episodes
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Finding Your Voice in Data as an Introvert (Karen Jean-Francois) - KNN Ep. 72
Published: 3/11/2021 -
Are Buzzwords Ruining Your Ability to Communicate? (Scott Taylor) - KNN Ep. 71
Published: 27/10/2021 -
Retired Military Officer to Google Analytics Intern! (Al Bellamy) - KNN Ep. 70
Published: 20/10/2021 -
Why It Is OK to not be OK as a Data Scientist. (Mark Freeman) - KNN Ep. 69
Published: 13/10/2021 -
Is There a Right Time to Leave Your Data Science Job? (Jacqueline Nolis) - KNN EP. 68
Published: 6/10/2021 -
Bored Accountant to Passionate Data Scientist (Nicholas Renotte) - KNN Ep. 67
Published: 29/09/2021 -
No Code Data Analyst to Python Lover (Shashank Kalanithi) - KNN Ep. 66
Published: 22/09/2021 -
How To Create Data Science Opportunities for Yourself (Vin Vashishta) - KNN Ep. 65
Published: 15/09/2021 -
Why He Left His Stable Data Science Job (Avery Smith) - KNN Ep. 64
Published: 8/09/2021 -
How has Data Science Changed in 20 Years? (Joe Reis) - KNN Ep. 63
Published: 1/09/2021 -
The First Data Science Philosopher? (Harpreet Sahota) - KNN Ep. 62
Published: 25/08/2021 -
Insights from a Tech Industry Analyst (Hyoun Park) - KNN Ep. 61
Published: 18/08/2021 -
Navy Submariner to Data Analytics YouTuber! (Luke Barousse) - KNN Ep. 60
Published: 11/08/2021 -
How this High Schooler's Data Helped Break Twitch Streaming Records (Will St. Hilare) - KNN Ep. 59
Published: 4/08/2021 -
Writing the Book on Pandas (Stefanie Molin) - KNN Ep. 58
Published: 28/07/2021 -
From C Student to Data Scientist (Greg Watson) - KNN Ep. 57
Published: 21/07/2021 -
Deep in the Mind of the Deepnote CEO (Jakub Jurovych) - KNN Ep. 56
Published: 14/07/2021 -
Bayesian or Frequentist: What does it mean? (Chelsea Parlett) - KNN Ep. 55
Published: 7/07/2021 -
Is Finance Ready for Machine Learning? (Vivek Viswanathan) - KNN Ep. 54
Published: 30/06/2021 -
From Rocker to Data Talker (Ale Koretzky) - KNN Ep. 53
Published: 23/06/2021
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.