Posted on Categories Administrativia, data science, Practical Data Science, StatisticsTags , 3 Comments on Big News! Practical Data Science with R is content complete!

Big News! Practical Data Science with R is content complete!

The last appendix has gone to the editors; the book is now content complete. What a relief!

We are hoping to release the book late in the first quarter of next year. In the meantime, you can still get early drafts of our chapters through Manning’s Early Access program, if you haven’t yet. The link is here.

We look forward to sharing the final version of the book with you next year.

Posted on Categories Coding, Computer Science, Programming, Rants, TutorialsTags , ,

Unit tests as penance

It recently hit me that I see unit tests as a form of penance (in addition to being a great tool for specification and test driven development). If you fix a bug and don’t add a unit test I suspect you are not actually sorry. Continue reading Unit tests as penance

Posted on Categories Opinion, Practical Data ScienceTags 4 Comments on On writing a technical book

On writing a technical book

I have been doing a lot of writing lately (the book, clients, blog, status updates, and the occasional tweet). This has made me acutely aware of how different many of these writing tasks tend to be. Continue reading On writing a technical book

Posted on Categories Pragmatic Machine Learning, Statistics, TutorialsTags , , , , 1 Comment on Sample size and power for rare events

Sample size and power for rare events

We have written a bit on sample size for common events, we have written about rare events, and we have written about frequentist significance testing. We would like to specialize our sample size analysis to rare events (which allows us to derive a somewhat tighter estimate). Continue reading Sample size and power for rare events