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Wildfires are no longer just seasonal anomalies, they are increasingly frequent, destructive, and unpredictable global events.
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I never bought into it, cause seemed like too much hassle, just another framework, which needed so much customization to be useful, but well I needed it this time.
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We’ve sourced the multi-modal satellite data, cleaned it and created a tensor pipeline, and dissected the mathematical morality of imbalanced loss functions.
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It’s been a minute since my last post on data acquisition.
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Did you know NASA JPL has a service called Horizons which lets you look at mission statistics, here we try to predict the orbit and compare with Artemis I stats. https://github.com/w-winnie/MLsandbox/blob/main/astro_sandbox/notebooks/artemis/artemis_orbit…
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In our previous posts, we reached the limits of both the classical and computational worlds.
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In the previous posts, we marveled at the elegance of the classical toolkit.
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In last part, we learned how to solve isolated differential equations, a single pendulum swinging, a single spring oscillating.
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In Part I, we explored the geometric blueprints of differential equations.
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“Change is the only constant in life” That’s also how the universe works in a way and how we study it, how something changes with respect to another and differential equations is what we use to describe this.