Solving the brain with machine learning; the secret to a successful career with Konrad Kording - The Data Scientist Show #008

Konrad Kording is a neuroscientist and professor at the University of Pennsylvania. Konrad is trying to understand how the world and the brain works using data. He is known for his research in computational neuroscience. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science. Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/ Daliana's Twitter: https://twitter.com/DalianaLiu Konrad's twitter:https://twitter.com/KordingLab The online community of computational neuroscientists he's working on: http://neuromatch.io/ We talked about: - Is evolution gradient descent? - What makes a data scientist competitive? - His three principles of doing good science - Why do we need casual inference in AI? - Should we optimize our brain's 'loss function' to make us happier? - The secret to a good career - Three rules he follows for doing good science - Is deep learning a bubble? - How did he get to where he's at today

Om Podcasten

A deep dive into data scientists' day-to-day work, tools and models they use, how they tackle problems, and their career journeys. This podcast helps you grow a successful career in data science. Listening to an episode is like having lunch with an experienced mentor. Guests are data science practitioners from various industries, AI researchers, economists, and CTOs of AI companies. Host: Daliana Liu, an ex-Amazon senior data scientist with 180k followers on Linkedin. Join 20k subscribers at www.dalianaliu.com to learn more about data science, career, and this show. Twitter @DalianaLiu.