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Can I get brief example of how calculus is used in data-science?
I saw in an answer to another question someone listed the math skills needed for data-science, and I was curious if I could get an example of how calculus would be relevant. I just haven't seen one yet, and it would be helpful to know what I need to study exactly.
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It won't be directly useful. You can use the popular Python libraries to skip the math involved and get your job done if that's your only goal.
To understand some algorithms(not all) deeply, you may need to know calculus. The best example should be the gradient descent.
You can read some detail here:
https://towardsdatascience.com/calculus-in-data-science-and-its-uses-3f3e1b5e5b35
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Thank you, Infinity.
I still have a number of methods and models to learn yet, and I have little experience with real world data sets at this point. I may have to just get a book on theory at some point, but I would definitely like the models to be more than a black box.
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I can understand. No one would want an incomplete understanding of what they are supposed to be good at. You can always dive deep, starting right from the basics.