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

The Data Scientist Show - A podcast by Daliana Liu

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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