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marcohening.bsky.social
@marcohening.bsky.social
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marcohening.bsky.social
Episode 2: We model climate data using an 𝑠𝑡𝑜𝑐ℎ𝑎𝑠𝑡𝑖𝑐 𝑑𝑖𝑓𝑓𝑒𝑟𝑒𝑛𝑡𝑖𝑎𝑙 𝑒𝑞𝑢𝑎𝑡𝑖𝑜𝑛, or SDE for short. Data source: the NASA POWER project. Let's transform data from 1981 to 2024 into a model.

Check out my latest article on @towardsdatascience.com !

towardsdatascience.com/stochastic-d...
Stochastic Differential Equations and Temperature — NASA Climate Data pt. 2 | Towards Data Science
The Ornstein-Uhlenbeck process in Python
towardsdatascience.com
September 3, 2025 at 5:51 PM
Reposted
towardsdatascience.com
Can a neural network solve a PDE and estimate its underlying constants with remarkable accuracy? Explore @marcohening.bsky.social's latest article to see how DeepXDE is used to implement a PINN for the Heat Equation, demonstrating its precise ability to infer critical parameters.
Physics-Informed Neural Networks for Inverse PDE Problems | Towards Data Science
Solving the Heat Equation using DeepXDE.
towardsdatascience.com
July 29, 2025 at 7:12 PM
marcohening.bsky.social
Check out my newest article on Towards Data Science!!!
@towardsdatascience.com #PINNs #Physics

towardsdatascience.com/physics-info...
Physics-Informed Neural Networks for Inverse PDE Problems | Towards Data Science
Solving the Heat Equation using DeepXDE.
towardsdatascience.com
July 29, 2025 at 3:05 PM
Reposted
towardsdatascience.com
Want to analyze real-world climate trends? 📈 Marco Hening Tallarico's latest article shows you how to programmatically access NASA's POWER API in Python, collect data for global hotspots, and perform sanity checks with Pandas and @Matplotlib.org.
How to Access NASA’s Climate Data — And How It’s Powering the Fight Against Climate Change Pt. 1 | Towards Data Science
From architectural design to food security.
towardsdatascience.com
July 1, 2025 at 11:34 PM