Our publisher, Manning, is running a Memorial Day sale this weekend (May 24-27, 2019), with a new offer every day.
The discount code is: wm052419au.
Many great opportunities to get Practical Data Science with R 2nd Edition at a discount!!!
Also, Practical Data Science with R, 2nd Edition; Zumel, Mount; Manning 2019 is now content complete! It is deep into editing and soon into production!
I thought I would give a personal update on our book: Practical Data Science with R 2nd edition; Zumel, Mount; Manning 2019.
Continue reading Practical Data Science with R Book Update (April 2019)
A good friend is now a professor at the University of Auckland and knew to photograph and send us this. Thanks!!!
A good friend shared with us a great picture of Practical Data Science with R, 1st Edition hanging out in Cambridge at the MIT Press Bookstore.
This is as good an excuse as any to share a book update.
Sunny day at the office, and new mocha cup!
Thank you to Win-Vector LLC General Partner Nina Zumel for stepping up her workload, allowing me take some time off from Win-Vector LLC (and time off from from revising chapter 8 of Practical Data Science with R 2nd Edition) to make time to help administer the Vietnam Rotary Global Grant mentioned below. This project is going to help over 1,600 farmers in Vietnam.
Heidi Kühn is a remarkable individual, and Roots of Peace and Rotary are remarkable organizations. It is an honor to work with all of you.
As with all projects- it feels like my part (the paperwork and supervision) is back under control. So back to research, clients, and the book (until something more is needed).
A rigorous hands-on introduction to data science for software engineers.
Win Vector LLC is now offering a 4 day on-site intensive data science course. The course targets software engineers familiar with Python and introduces them to the basics of current data science practice. This is designed as an interactive in-person (not remote or video) course.
Roz King just wrote an interesting article on binning data (a common data analytics step) in a database. They compare a case-based approach (where the bin divisions are stuffed into code) with a join based approach. They share code and timings.
Best of all: rquery gets some attention and turns out to be the dominant solution at all scales measured.
Here is an example timing (lower times better):
So please check the article out.
We forgot to say: R Journal Volume 10/2, December 2018 is out!
A huge thanks to the editors who work very hard to make this possible.
And big “thank you” to the editors, referees, and journal for helping improve, and for including our note on pipes in R.