ClimateCode: How Machine Learning Is Rewriting the Rules of Planetary

What if artificial intelligence could help save the planet?ClimateCode reveals how machine learning is transforming the future of climate forecasting. Combining deep-learning models like LSTM with traditional climate systems, this book introduces a powerful framework for predicting global risks-from rising sea levels to extreme weather. Drawing on more than five decades of NASA and NOAA data, it shows how AI not only improves accuracy but makes climate science faster, smarter, and more actionable.Packed with real-world insights, ClimateCode is a must-read for data scientists, climate leaders, policy-makers, and anyone committed to building a more resilient world.

Autorentext
Lemuel Kenneth David is a dedicated PhD scholar focused on research across sustainability, accounting, machine learning, and diversity. With over 18 academic publications, his work advances data-driven insights into climate action, ethical governance, and inclusive global development.