
Tracking CO2 Emissions with Machine Learning with Laurence Watson - TWIML Talk #277
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Tracking Carbon Emissions: Challenges and Innovations
This chapter discusses the evolution of the speaker's journey in climate change policy and data science, detailing their work at Carbon Tracker and the challenges of quantifying emissions from fossil fuels. It highlights innovative methodologies for data analysis, including the use of satellite imagery and machine learning to predict coal production output. The chapter emphasizes the importance of accurate data gathering and modeling in understanding and mitigating climate risks.
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