Tag: #tutorial
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Flood Prediction II – The Data Prep
It’s been a minute since my last post on data acquisition. Between a much needed…
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Differential Equations V – Physics Informed Neural Networks (PINNs)
In our previous posts, we reached the limits of both the classical and computational worlds.…
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Differential Equations IV – How Computers Solve Differential Equations
In the previous posts, we marveled at the elegance of the classical toolkit. We used…
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Differential Equations III – Systems, Signals, and State Space
In last part, we learned how to solve isolated differential equations, a single pendulum swinging,…
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Differential Equations II – The Classical Mechanics of Calculus
In Part I, we explored the geometric blueprints of differential equations. We looked at first…
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Differential Equations I – Intuition & Analytical Solutions
“Change is the only constant in life” That’s also how the universe works in a…
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BCE, Focal, Dice, and Tversky – Flood Prediction Loss Deep Dive
What is a Loss Function? As an intuitive understanding loss would be predicted value –…
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Flood Prediction – UNet + Linear Modulation – Notes
I was working on flood prediction project and working with a unet – code here…
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Optimizing BigQuery Geospatial Intersects
Working with geospatial data, intersection operations are fundamental and frequently used to answer questions like…
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Grids – Comparative Analysis of Geohash, H3, and S2
Bucketing and discretization is important step in any algorithmic training or analysis, today we focus…