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www.ethanrosenthal.com
| | tomaugspurger.net
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| | This is Part 2 in the Practical Pandas Series, where I work through a data analysis problem from start to finish. It's a misconception that we can cleanly separate the data analysis pipeline into a linear sequence of steps from data acqusition data tidying exploratory analysis model building production As you work through a problem you'll realize, "I need this other bit of data", or "this would be easier if I stored the data this way", or more commonly "strange, that's not supposed to happen".
| | austinrochford.com
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| | I first started working with probabilistic programming about ten years ago (in late 2012 or early 2013) using PyMC2. At the time I was preparing to leave a PhD program in pure math for a data science
| | sebastianraschka.com
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| | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).
| | dennybritz.com
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| All the code is also available as an Jupyter notebook on Github.