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@Cmastication will do. thanks! I look forward to part 2… hope it drops soon.

For all my new financial services analytics students, this episode is a fantastic window into data science in your world. It is so good. @Cmastication is a fascinating human being with gift for storytelling. Make sure you LISTEN!

vanishinggradients.fireside.fm

@ericmjl has great content all over YouTube. However, it is this blog post that has proved most helpful to me while wrestling with shape dimensions in NumPyro : "Reasoning about Shapes and Probability Distributions". So good! ericmjl.github.io/blog/2019/5/

@radehi There is no agreed upon definition of data science. To me, data science is statistics + some other math/computational tools that help make value out of data. I use data science to imply more than just statistical tests... things like data cleaning, visualization, decision theory, software engineering, etc.

I have this notion that the power of data science comes from unifying narrative, math, and code. (narrative is a proxy for real-world issues and phenomena). Expertise in just two of the three is very limiting. Been working on a book to explore this more thoroughly. If you want to take a peek, here is the link:

persuasivepython.com/

Let me know what you think. Three new chapters will be released on Thursday.

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