Ken's Nearest Neighbors

Un pódcast de Ken Jee

Categorías:

197 Episodo

  1. Why Data-Viz is so Darn Important (Kate Strachnyi) - KNN Ep. 16

    Publicado: 5/11/2020
  2. His Startup Will Land You a Data Science Job (Jeremie Harris) - KNN Ep. 15

    Publicado: 5/11/2020
  3. Hedge Funds, Startups, and Data Science Oh my! (Andrew) - KNN Ep. 14

    Publicado: 4/11/2020
  4. Land a Data Science Job in a Different Country (Vijay Pravin Maharajan) - KNN Ep. 13

    Publicado: 4/11/2020
  5. From IndyCar Racing to Data Literacy (Alex Castrounis) - KNN Ep. 12

    Publicado: 4/11/2020
  6. How She Dominated the FAANG Data Science Interview (Tina Huang) - KNN Ep. 11

    Publicado: 4/11/2020
  7. Inside the Mind of the ULTIMATE Kaggle Grandmaster (Abhishek Thakur) - KNN Ep. 10

    Publicado: 4/11/2020
  8. How a Subscriber Landed a Data Analyst Job in Less Than a Year (Ray Ojel) - KNN Ep. 09

    Publicado: 4/11/2020
  9. The Data Science Twitch Streamer + Sports Analytics (Nick Wan) - KNN Ep. 08

    Publicado: 3/11/2020
  10. What is the Future of AI at NVIDIA? (Anima Anandkumar) - KNN Ep. 07

    Publicado: 3/11/2020
  11. Should You Have a Data Science Mentor? (Danny Ma) - KNN Ep. 06

    Publicado: 3/11/2020
  12. Uber Driver to Machine Learning Engineer in 9 Months (Daniel Bourke) - KNN Ep. 05

    Publicado: 3/11/2020
  13. Should You Major in Data Science? (Jaemin Lee) - KNN Ep. 04

    Publicado: 31/10/2020
  14. How to Land a Data Science Job at FAANG (Jay Feng) - KNN Ep. 03

    Publicado: 30/10/2020
  15. NASA Physicist Turned Data Scientist (Tim Bowling) - KNN Ep. 02

    Publicado: 29/10/2020
  16. Notorious KNN - KNN Ep. 1.5

    Publicado: 29/10/2020
  17. Hello World. Who am I? - KNN Ep. 01

    Publicado: 28/10/2020

10 / 10

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.

Visit the podcast's native language site