Ken's Nearest Neighbors
A podcast by Ken Jee
Categories:
193 Episodes
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Doing Data Abroad! (Christina Stathopoulos) - KNN Ep. 32
Published: 27/01/2021 -
A Data Science Instructor's Insight into Learning the Field (Michael Galarnyk) - KNN Ep. 31
Published: 20/01/2021 -
What is Algorithmic Trading Really? (Jacob Amaral) - KNN Ep. 30
Published: 13/01/2021 -
Data Science VS. Software Engineering: Which is better for you? (Forrest Knight) - KNN Ep. 29
Published: 6/01/2021 -
The Man Who Makes Statistics Fun! (Joshua Starmer AKA StatQuest) - KNN Ep.28
Published: 30/12/2020 -
The Man Behind the Data Science Tutorials (Keith Galli) - KNN Ep. 27
Published: 23/12/2020 -
From Lawyer to Data Scientist! (Greg Jacobs) - KNN Ep. 26
Published: 16/12/2020 -
How Do Companies Teach Data Science? (Mike Kelly) - KNN Ep. 25
Published: 9/12/2020 -
This Spotify Data Scientist Can Learn Anything! (Jeff Li) - KNN Ep. 24
Published: 2/12/2020 -
Everything You Need to Know about Data Science Consulting (Gleb Drobkov) - KNN Ep. 23
Published: 25/11/2020 -
His Machine Learning Models Can See (Richmond Alake) - KNN Ep. 22
Published: 18/11/2020 -
Data Science Without All the BS (Richard Bryant) - KNN Ep. 21
Published: 11/11/2020 -
Spilling the Tea on Data Science (Sanyam Bhutani) - KNN Ep. 19
Published: 8/11/2020 -
She Uses Machine Learning to Control Your Brain (Jordan Harrod) - KNN Ep. 20
Published: 8/11/2020 -
Half Man, Half Machine Learning Engineer (Jeff Charbeneau) - KNN Ep. 18
Published: 6/11/2020 -
Advice From a Data Analytics CEO (@How to Get an Analytics Job) - KNN Ep. 17
Published: 6/11/2020 -
Why Data-Viz is so Darn Important (Kate Strachnyi) - KNN Ep. 16
Published: 5/11/2020 -
His Startup Will Land You a Data Science Job (Jeremie Harris) - KNN Ep. 15
Published: 5/11/2020 -
Hedge Funds, Startups, and Data Science Oh my! (Andrew) - KNN Ep. 14
Published: 4/11/2020 -
Land a Data Science Job in a Different Country (Vijay Pravin Maharajan) - KNN Ep. 13
Published: 4/11/2020
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.