<p><a href='https://www.linkedin.com/in/drrohr/'>Daniel Rohr</a> discusses helping trucks predict fuel efficiency and produce less CO2 with data science at <a href='https://www.tracks.eco/'>Tracks</a>.  He talks about how much data is available from telematics, how to use random forests and Natural Intelligence to create insights and his career journey from quantum chemistry to data science.</p>

Daniel Rohr discusses helping trucks predict fuel efficiency and produce less CO2 with data science at Tracks. He talks about how much data is available from telematics, how to use random forests and Natural Intelligence to create insights and his career journey from quantum chemistry to data science.

<p><a href="https://www.linkedin.com/in/drrohr/" rel="noopener noreferrer">Daniel Rohr</a> discusses helping trucks predict fuel efficiency and produce less CO2 with data science at <a href="https://www.tracks.eco/" rel="noopener noreferrer">Tracks</a>.&nbsp; He talks about how much data is available from telematics, how to use random forests and Natural Intelligence to create insights and his career journey from quantum chemistry to data science.</p>

#11 Daniel Rohr: Improving Trucking with Data Science

The Tangible Computing podcast is about where computing meets the real world, from the fast and complex like controlling an engine, to imaging a patient or scheduling an airline. We want to trigger your curiosity by talking to the people behind the scenes of making the modern world happen, deepening your understanding of where computation plays a role in our everyday lives and motivating you to help engineer a better world.

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#11 Daniel Rohr: Improving Trucking with Data Science

#11 Daniel Rohr: Improving Trucking with Data Science