patemotter

I have a computer science PhD. Sometimes I get to use it. Work @ Amazon Alexa

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Absolute Watchmen Alan Moore

Great format for a great graphic novel.

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Matrix Computations Charles F. Van Loan, Gene H. Golub

This is a huge tome of numerical linear algebra and full of great information. Although maybe more dense than it should be, it is still a very well organized and written book.

8/10

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Handbook of Writing for the Mathematical Sciences Nicholas J. Higham

This was slightly useful for writing my dissertation. Can't really recommend.

3/10

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Introduction to Algorithms Thomas H. Cormen

CLRS is the most algorithm book you can buy. I think this is something that belongs on every computer scientist's shelf.

10/10

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Speech and Language Processing James H. Martin, Daniel Jurafsky
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Code Complete Steve McConnell
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A Tour of C++ Bjarne Stroustrup
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Linear Programming Vasek Chvatal
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Numerical Linear Algebra David Bau, III, Lloyd N. Trefethen

I really like this book. It can be difficult to parse occasionally, but it is still written better than the VAST majority of numerical analysis or linear algebra text books.

9/10

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An Introduction to Statistical Learning Trevor Hastie, Gareth James, Daniela Witten, Robert Tibshirani
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Intel Xeon Phi Processor High Performance Programming James Jeffers, Avinash Sodani, James Reinders
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Distant Speech Recognition John McDonough, Matthias Woelfel
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Into Thin Air Jon Krakauer
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Missoula Jon Krakauer
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From Hell Eddie Campbell, Pete Mullins, Alan Moore
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Programming Massively Parallel Processors Wen-mei W. Hwu, David B. Kirk

Dense, but full of good examples. Like with any language/library focused book not all of the examples age well with the passing of time.

8/10

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