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Transportation Modeling and Autonomous Vehicles With Matt Battifarano
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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By Travis Lawrence
4.7
1313 ratings
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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