Re:Foundations of Data Science [pdf]
by commandlinefan on Monday October 07, 2019 @03:07PM
(#21184722)
Looks like you need a _lot_ of foundational stuff first. Page 17 has already jumped into multiple integrals, which at least when I was studying undergraduate calculus 30 years ago wasn’t covered until Calc IV. The appendix rushes through a lot of stuff you’re apparently expected to already have had some exposure to like Taylor series, probability density functions, eigenvalues and eigenvectors… it looks like you’d need at least an undergraduate (if not a graduate) level math degree before you could make much sense of the contents of this book.
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Re:Foundations of Data Science [pdf]
by tonyarkles on Monday October 07, 2019 @03:24PM
(#21184930)
Oddly enough that’s stuff that would have been optional in my CS program but was all mandatory for EE.
Re:Foundations of Data Science [pdf]
by commandlinefan on Monday October 07, 2019 @04:14PM
(#21185470)
That sounds about right - EE is a lot if differential equations (or so I’m told), so you’d need a rock-solid calc framework for it. When I took CS in the early 90’s, calc I & II were required, but that was it.