Transportation Modeling and Autonomous Vehicles With Matt Battifarano

Building the Backend: Data Solutions that Power Leading Organizations

Travis Lawrence에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Travis Lawrence 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

4+ y ago 35:04

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In this episode, we speak with Matt Battifarano. Matt is a data scientist focusing on transportation modeling. He first started his career as a data scientist at a startup called Bridj where they created a smart micro-bus platform for urban transit similar to Uber Pool. Currently he’s working towards his PHD at Carnegie Mellon at their Mobility Data Analytics Center.
Top 3 Value Bombs:

K.I.S.S - Keep it super simple. Do not over complicate the process, especially when just starting out prototyping..
The importance of understanding the purpose/history of methods in AI/ML
There are many challenges to developing autonomous vehicles - one in particular is creating an environment where you can test it safely. Unlike many AI/ML tests you cannot perform A/B tests with end users.

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#Tech #Podcasting Education #Travis Lawrence