A good friend is now a professor at the University of Auckland and knew to photograph and send us this. Thanks!!!
Category: Administrativia
Practical Data Science with R Book Update
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!
Sunny day at the office, and new mocha cup!
Support Rotary to Support our World
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).
Starting With Data Science: A Rigorous Hands-On Introduction to Data Science for Software Engineers
Starting With Data Science
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.
Binning Data in a Database
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.
R Journal Volume 10/2, December 2018 is 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.
PDSwR2 Free Excerpt and New Discount Code
Manning has a new discount code and a free excerpt of our book Practical Data Science with R, 2nd Edition: here.
This section is elementary, but things really pick up speed as later on (also available in a paid preview).
PDSwR2: New Chapters!
We have two new chapters of Practical Data Science with R, Second Edition online and available for review!
The newly available chapters cover:
Data Engineering And Data Shaping – Explores how to use R to organize or wrangle data into a shape useful for analysis. The chapter covers applying data transforms, data manipulation packages, and more.
Choosing and Evaluating Models – The chapter starts with exploring machine learning approaches and then moves to studying key model evaluation topics like mapping business problems to machine learning tasks, evaluating model quality, and how to explain model predictions.
If you haven’t signed up for our book’s MEAP (Manning Early Access Program), we encourage you to do so. The MEAP includes a free copy of Practical Data Science with R, First Edition, as well as early access to chapter drafts of the second edition as we complete them.
For those of you who have already subscribed — thank you! We hope you enjoy the new chapters, and we look forward to your feedback.
Practical Data Science with R, 2nd Edition discount!
Please help share our news and this discount.
The second edition of our best-selling book Practical Data Science with R2, Zumel, Mount is featured as deal of the day at Manning.
The second edition isn’t finished yet, but chapters 1 through 4 are available in the Manning Early Access Program (MEAP), and we have finished chapters 5 and 6 which are now in production at Manning (so they should be available soon). The authors are hard at work on chapters 7 and 8 right now.
The discount gets you half off. Also the 2nd edition comes with a free e-copy the first edition (so you can jump ahead).
Here are the details in Tweetable form:
Deal of the Day January 13: Half off Practical Data Science with R, Second Edition. Use code dotd011319au at http://bit.ly/2SKAxe9.