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Will Kurt works as a data scientist at Wayfair, and has been using Bayesian statistics to solve real business problems for over half a decade. He frequently blogs about probability on his website, CountBoyesie.com. Kurt is the author of Get Programming with Haskell (Manning Publications) and lives toon meer in Boston, Massachusetts. toon minder

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The organization of this book is a bit incoherent. It does not build well in previous concepts to set up new concepts to learn. It does not actually do a reasonable job of teaching the reader how to actually write a program. It feels a bit like someone had a list of things to teach about Haskell, perhaps missing some key items, and split the list up into three groups based on perceived difficulty of the concepts and techniques involved, wrote about them independently with an assumption the reader has some background knowledge to help understand it, then randomized the order of everything within each of those three groups, as a way to teach things from "easy" to "hard".

It's not a good way to organize a programming book.

I gave up after giving it more of a chance than I felt it deserved, then picked up Graham Hutton's Programming In Haskell, which is much, much better.
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apotheon | Dec 14, 2020 |
Read the book in a rush, and it was great. I worked through all the examples. It taught me to use the statistical language R, and all about beta distributions. I now have a much better understanding of hypothesis testing and a passing acquaintance with testing hypotheses with Monte-Carlo simulation. Stumbled across the book when I came across the (very good) Count Bayesie website.
 
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jvgravy | May 12, 2020 |

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Werken
2
Leden
135
Populariteit
#150,831
Waardering
½ 3.5
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2
ISBNs
4

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