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blog.shakirm.com
| | astroautomata.com
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| | Automating Scientific Discovery
| | dehora.net
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| | In 2018, I posted a series of introductory, hands-on and more advanced book lists for engineers new to machine learning, to help develop a basic knowledge of machine learning fundamentals. This post provides an updated set of book recommendations reflecting changes since then, and an improved grouping for the books into mathematics, machine learning, data science, and programming tools.
| | colah.github.io
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| | sander.ai
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| More thoughts on diffusion guidance, with a focus on its geometry in the input space.